Overview

Row

Overview


Bay Area Transportation Study: Unweighted Codebook and Dataset Guide

This document provides key information about all variables included in the Bay Area Travel Study dataset. This includes:

  • A codebook with all variable and value labels, searchable by data table.

  • Unweighted frequency tables with unweighted tabulations for all categorical variables in the dataset.

  • A dataset guide with information about data privacy, data preparation, and notes on joining tables. In many cases, referring to the original survey questionnaire also provides helpful context for the exact data collection procedures.


Study and Dataset Overview

The Bay Area Transportation Study collected data from 2023-05-08 to 2024-01-19. The study included two parts:

  1. Part one, also called the “recruit survey,” collected information about household composition, demographics, and typical travel behavior.

  2. Part two, also called the “travel diary,” required participants to record their travel during an assigned travel period.


“Complete” households met the following conditions:

  • The household completed the recruit survey in full.

  • The household completed a travel diary for all participating household members on at least one concurrent weekday.


Identifying surveyable household members:

The household member who completed the recruit survey is referred to as “person 1.” All household members whose relationship to person 1 is spouse or unmarried partner, child, parent, sibling, or other relative reported their travel and are considered part of the household. These persons can be identified by a value of 1 in the “surveyable” column in the person data table.

Dataset Composition

Dataset Composition

The dataset includes six distinct data tables. These tables include all user-input survey variables, certain survey metadata, and variables derived to support data analysis.

Table Rows
Household     8,843 households
Person    17,189 people
Vehicle    11,984 vehicles
Day    91,588 days
Trip   373,511 trips
Location 6,673,885 points


Data Privacy

Data Privacy

The survey dataset contains sensitive and confidential data, including personally identifiable information (PII). The table below lists several specific variables that are likely to contain PII or sensitive information, however this list is not exhaustive. Combinations of additional variables may also constitute PII. Please follow your organization’s privacy policy, this study’s privacy policy, and generally accepted best practices for data privacy and security.

RSG has removed any PII used solely for survey administration from the final dataset. Additionally, survey access codes used by participants have been replaced with household IDs (hh_id) to ensure that no information in the final dataset can be identified using the passwords the participant used.


Sensitive and Personally Identifiable Information (PII)

Variable Name(s) Data Level Confidential Data Type
home_lat, home_lon Household PII
income_detailed Household Sensitive
ethnicity Person Sensitive
ethnicity_other_specify Person Text entry: May contain sensitive and PII
race Person Sensitive
race_other_specify Person Text entry: May contain sensitive and PII
school_lat, school_lon Person PII
work_lat, work_lon Person PII
o_lat, o_lon Trip PII
d_lat, d_lon Trip PII
mode_other_specify Trip Text entry: May contain sensitive and PII
other Vehicle Text entry: May contain sensitive and PII

Codebook

Row

Variable Descriptions

Value Labels

Household

Row

participation_group

Participation group

Label

Value

Counts

Percentages

Signup survey completed via browserMove, Diary completed via browserMove

1

1,162

13.1%

Signup survey completed via browserMove, Diary completed via call center

2

22

0.2%

Signup survey completed via browserMove, Diary completed via rMove

3

1,858

21.0%

Signup survey completed via call center, Diary completed via browserMove

4

61

0.7%

Signup survey completed via call center, Diary completed via call center

5

289

3.3%

Signup survey completed via call center, Diary completed via rMove

6

6

0.1%

Signup survey completed via rMove, Diary completed via browserMove

7

236

2.7%

Signup survey completed via rMove, Diary completed via call center

8

6

0.1%

Signup survey completed via rMove, Diary completed via rMove

9

5,203

58.8%

Total valid

8,843

100.0%

Total

8,843

Row

num_days_complete

Number of complete days
If surveyable

Label

Value

Counts

Percentages

1 day complete

1

3,018

34.1%

2 days complete

2

83

0.9%

3 days complete

3

97

1.1%

4 days complete

4

121

1.4%

5 days complete

5

318

3.6%

6 days complete

6

910

10.3%

7 days complete

7

4,296

48.6%

Total valid

8,843

100.0%

Total

8,843

Row

num_days_complete_a

Number of complete days under strict criteria A

Label

Value

Counts

Percentages

0 days complete

0

972

11.0%

1 day complete

1

2,786

31.5%

2 days complete

2

319

3.6%

3 days complete

3

490

5.5%

4 days complete

4

714

8.1%

5 days complete

5

932

10.5%

6 days complete

6

1,005

11.4%

7 days complete

7

1,625

18.4%

Total valid

8,843

100.0%

Total

8,843

Row

num_days_complete_b

Number of complete days under lenient criteria B

Label

Value

Counts

Percentages

0 days complete

0

258

2.9%

1 day complete

1

2,936

33.2%

2 days complete

2

143

1.6%

3 days complete

3

203

2.3%

4 days complete

4

338

3.8%

5 days complete

5

752

8.5%

6 days complete

6

1,352

15.3%

7 days complete

7

2,861

32.4%

Total valid

8,843

100.0%

Total

8,843

Row

num_days_complete_weekday

Number of complete weekdays

Label

Value

Counts

Percentages

0 weekdays

0

42

0.5%

1 weekday

1

3,033

34.3%

2 weekdays

2

125

1.4%

3 weekdays

3

238

2.7%

4 weekdays

4

746

8.4%

5 weekdays

5

4,659

52.7%

Total valid

8,843

100.0%

Total

8,843

Row

num_days_complete_weekday_a

Number of complete weekdays under strict criteria A

Label

Value

Counts

Percentages

0 weekdays

0

1,058

12.0%

1 weekday

1

2,921

33.0%

2 weekdays

2

612

6.9%

3 weekdays

3

950

10.7%

4 weekdays

4

1,254

14.2%

5 weekdays

5

2,048

23.2%

Total valid

8,843

100.0%

Total

8,843

Row

num_days_complete_weekday_b

Number of complete weekdays under lenient criteria B

Label

Value

Counts

Percentages

0 weekdays

0

311

3.5%

1 weekday

1

2,996

33.9%

2 weekdays

2

268

3.0%

3 weekdays

3

600

6.8%

4 weekdays

4

1,289

14.6%

5 weekdays

5

3,379

38.2%

Total valid

8,843

100.0%

Total

8,843

Row

num_complete_mon

Number of complete Mondays

Label

Value

Counts

Percentages

0 Mondays

0

2,909

32.9%

1 Monday

1

5,934

67.1%

Total valid

8,843

100.0%

Total

8,843

Row

num_complete_mon_a

Number of complete Mondays under strict criteria A

Label

Value

Counts

Percentages

0 Mondays

0

4,354

49.2%

1 Monday

1

4,489

50.8%

Total valid

8,843

100.0%

Total

8,843

Row

num_complete_mon_b

Number of complete Mondays under lenient criteria B

Label

Value

Counts

Percentages

0 Mondays

0

3,471

39.3%

1 Monday

1

5,372

60.7%

Total valid

8,843

100.0%

Total

8,843

Row

num_complete_tue

Number of complete Tuesdays

Label

Value

Counts

Percentages

0 Tuesdays

0

2,537

28.7%

1 Tuesday

1

6,306

71.3%

Total valid

8,843

100.0%

Total

8,843

Row

num_complete_tue_a

Number of complete Tuesdays under strict criteria A

Label

Value

Counts

Percentages

0 Tuesdays

0

4,163

47.1%

1 Tuesday

1

4,680

52.9%

Total valid

8,843

100.0%

Total

8,843

Row

num_complete_tue_b

Number of complete Tuesdays under lenient criteria B

Label

Value

Counts

Percentages

0 Tuesdays

0

3,149

35.6%

1 Tuesday

1

5,694

64.4%

Total valid

8,843

100.0%

Total

8,843

Row

num_complete_wed

Number of complete Wednesdays

Label

Value

Counts

Percentages

0 Wednesdays

0

2,525

28.6%

1 Wednesday

1

6,318

71.4%

Total valid

8,843

100.0%

Total

8,843

Row

num_complete_wed_a

Number of complete Wednesdays under strict criteria A

Label

Value

Counts

Percentages

0 Wednesdays

0

4,143

46.9%

1 Wednesday

1

4,700

53.1%

Total valid

8,843

100.0%

Total

8,843

Row

num_complete_wed_b

Number of complete Wednesdays under lenient criteria B

Label

Value

Counts

Percentages

0 Wednesdays

0

3,103

35.1%

1 Wednesday

1

5,740

64.9%

Total valid

8,843

100.0%

Total

8,843

Row

num_complete_thu

Number of complete Thursdays

Label

Value

Counts

Percentages

0 Thursdays

0

2,582

29.2%

1 Thursday

1

6,261

70.8%

Total valid

8,843

100.0%

Total

8,843

Row

num_complete_thu_a

Number of complete Thursdays under strict criteria A

Label

Value

Counts

Percentages

0 Thursdays

0

4,287

48.5%

1 Thursday

1

4,556

51.5%

Total valid

8,843

100.0%

Total

8,843

Row

num_complete_thu_b

Number of complete Thursdays under lenient criteria B

Label

Value

Counts

Percentages

0 Thursdays

0

3,161

35.7%

1 Thursday

1

5,682

64.3%

Total valid

8,843

100.0%

Total

8,843

Row

num_complete_fri

Number of complete Fridays

Label

Value

Counts

Percentages

0 Fridays

0

3,386

38.3%

1 Friday

1

5,457

61.7%

Total valid

8,843

100.0%

Total

8,843

Row

num_complete_fri_a

Number of complete Fridays under strict criteria A

Label

Value

Counts

Percentages

0 Fridays

0

5,017

56.7%

1 Friday

1

3,826

43.3%

Total valid

8,843

100.0%

Total

8,843

Row

num_complete_fri_b

Number of complete Fridays under lenient criteria B

Label

Value

Counts

Percentages

0 Fridays

0

3,948

44.6%

1 Friday

1

4,895

55.4%

Total valid

8,843

100.0%

Total

8,843

Row

num_days_complete_weekend

Number of complete weekend days

Label

Value

Counts

Percentages

0 weekend days

0

3,155

35.7%

1 weekend day

1

571

6.5%

2 weekend days

2

5,117

57.9%

Total valid

8,843

100.0%

Total

8,843

Row

num_days_complete_weekend_a

Number of complete weekend days under strict criteria A

Label

Value

Counts

Percentages

0 weekend days

0

4,264

48.2%

1 weekend day

1

1,594

18.0%

2 weekend days

2

2,985

33.8%

Total valid

8,843

100.0%

Total

8,843

Row

num_days_complete_weekend_b

Number of complete weekend days under lenient criteria B

Label

Value

Counts

Percentages

0 weekend days

0

3,441

38.9%

1 weekend day

1

1,105

12.5%

2 weekend days

2

4,297

48.6%

Total valid

8,843

100.0%

Total

8,843

Row

num_complete_sat

Number of complete Saturdays

Label

Value

Counts

Percentages

0 Saturdays

0

3,428

38.8%

1 Saturday

1

5,415

61.2%

Total valid

8,843

100.0%

Total

8,843

Row

num_complete_sat_a

Number of complete Saturdays under strict criteria A

Label

Value

Counts

Percentages

0 Saturdays

0

5,112

57.8%

1 Saturday

1

3,731

42.2%

Total valid

8,843

100.0%

Total

8,843

Row

num_complete_sat_b

Number of complete Saturdays under lenient criteria B

Label

Value

Counts

Percentages

0 Saturdays

0

3,958

44.8%

1 Saturday

1

4,885

55.2%

Total valid

8,843

100.0%

Total

8,843

Row

num_complete_sun

Number of complete Sundays

Label

Value

Counts

Percentages

0 Sundays

0

3,453

39.0%

1 Sunday

1

5,390

61.0%

Total valid

8,843

100.0%

Total

8,843

Row

num_complete_sun_a

Number of complete Sundays under strict criteria A

Label

Value

Counts

Percentages

0 Sundays

0

5,010

56.7%

1 Sunday

1

3,833

43.3%

Total valid

8,843

100.0%

Total

8,843

Row

num_complete_sun_b

Number of complete Sundays under lenient criteria B

Label

Value

Counts

Percentages

0 Sundays

0

4,029

45.6%

1 Sunday

1

4,814

54.4%

Total valid

8,843

100.0%

Total

8,843

Row

home_in_region

Home is in the study region

Label

Value

Counts

Percentages

Yes

1

8,843

100.0%

Total valid

8,843

100.0%

Total

8,843

Row

sample_segment

Sample segment

Label

Value

Counts

Percentages

Spring low income assignment

1

36

0.4%

Spring low income opt-in

2

58

0.7%

Spring BIPOC assignment

3

15

0.2%

Spring BIPOC opt-in

4

30

0.3%

Spring wbt assignment

5

49

0.6%

Spring wbt opt-in

6

77

0.9%

Spring general assignment

7

90

1.0%

Spring general opt-in

8

159

1.8%

All Other Low Income

9

575

6.5%

All Other BIPOC

10

348

3.9%

All Other Walk/Bike/Transit

11

574

6.5%

All Other General

12

2,852

32.3%

San Francisco Low Income Northeast

13

227

2.6%

San Francisco BIPOC Northeast

14

27

0.3%

San Francisco Walk/Bike/Transit Northeast

15

226

2.6%

San Francisco General Northeast

16

441

5.0%

San Francisco Low Income Northwest

17

41

0.5%

San Francisco General Northwest

18

563

6.4%

San Francisco Low Income Southeast

19

40

0.5%

San Francisco BIPOC Southeast

20

198

2.2%

San Francisco General Southeast

21

218

2.5%

San Francisco Low Income Southwest

22

25

0.3%

San Francisco BIPOC Southwest

23

10

0.1%

San Francisco Walk/Bike/Transit Southwest

24

14

0.2%

San Francisco General Southwest

25

583

6.6%

Santa Clara Low Income

26

217

2.5%

Santa Clara BIPOC

27

90

1.0%

Santa Clara Walk/Bike/Transit

28

265

3.0%

Santa Clara General

29

731

8.3%

Pairwise TDM

30

64

0.7%

Total valid

8,843

100.0%

Total

8,843

Row

income_detailed

Last year’s household income (detailed categories)

Label

Value

Counts

Percentages

Less than $15,000

1

479

5.4%

$15,000-$24,999

2

343

3.9%

$25,000-$34,999

3

331

3.7%

$35,000-$49,999

4

464

5.2%

$50,000-$74,999

5

825

9.3%

$75,000-$99,999

6

902

10.2%

$100,000-$149,999

7

1,428

16.1%

$150,000-$199,999

8

980

11.1%

$200,000-$249,999

9

649

7.3%

$250,000 or more

10

1,299

14.7%

Prefer not to answer

999

1,143

12.9%

Total valid

8,843

100.0%

Total

8,843

Row

income_followup

Last year’s household income (broad categories)
If preferred not to provide income in the sign-up survey

Label

Value

Counts

Percentages

Under $25,000

1

27

2.4%

$25,000-$49,999

2

21

1.9%

$50,000-$74,999

3

31

2.7%

$75,000-$99,999

4

28

2.5%

$100,000-$199,999

5

68

6.0%

$200,000 or more

6

97

8.6%

Prefer not to answer

999

857

75.9%

Missing Response

995

7,714

Total valid

1,129

100.0%

Total missing

7,714

Total

8,843

Row

income_broad

Last year’s household income (recoded broad categories)

Label

Value

Counts

Percentages

Under $25,000

1

849

9.6%

$25,000-$49,999

2

816

9.2%

$50,000-$74,999

3

856

9.7%

$75,000-$99,999

4

930

10.5%

$100,000-$199,999

5

2,476

28.0%

$200,000 or more

6

2,045

23.1%

Prefer not to answer

999

871

9.8%

Total valid

8,843

100.0%

Total

8,843

Row

num_people

Number of household members

Label

Value

Counts

Percentages

1 person

1

3,802

43.0%

2 people

2

3,106

35.1%

3 people

3

985

11.1%

4 people

4

674

7.6%

5 people

5

180

2.0%

6 people

6

64

0.7%

7 people

7

22

0.2%

8 people

8

5

0.1%

9 people

9

4

0.0%

10 people

10

1

0.0%

Total valid

8,843

100.0%

Total

8,843

Row

num_surveyable

Number of surveyable household members

Label

Value

Counts

Percentages

1 surveyable person

1

4,238

47.9%

2 surveyable persons

2

2,888

32.7%

3 surveyable persons

3

865

9.8%

4 surveyable persons

4

614

6.9%

5 surveyable persons

5

157

1.8%

6 surveyable persons

6

55

0.6%

7 surveyable persons

7

18

0.2%

8 surveyable persons

8

6

0.1%

9 surveyable persons

9

2

0.0%

Total valid

8,843

100.0%

Total

8,843

Row

num_participants

Number of participants

Label

Value

Counts

Percentages

1 participant

1

4,467

50.5%

2 participants

2

3,699

41.8%

3 participants

3

427

4.8%

4 participants

4

177

2.0%

5 participants

5

56

0.6%

6 participants

6

14

0.2%

7 participants

7

2

0.0%

9 participants

9

1

0.0%

Total valid

8,843

100.0%

Total

8,843

Row

num_adults

Number of adults

Label

Value

Counts

Percentages

1 adult

1

4,021

45.5%

2 adults

2

3,924

44.4%

3 adults

3

564

6.4%

4 adults

4

233

2.6%

5 adults

5

73

0.8%

6 adults

6

22

0.2%

7 adults

7

3

0.0%

9 adults

9

2

0.0%

10 adults

10

1

0.0%

Total valid

8,843

100.0%

Total

8,843

Row

num_kids

Number of children

Label

Value

Counts

Percentages

0 children

0

7,485

84.6%

1 child

1

713

8.1%

2 children

2

534

6.0%

3 children

3

88

1.0%

4 children

4

16

0.2%

5 children

5

3

0.0%

6 children

6

2

0.0%

7 children

7

2

0.0%

Total valid

8,843

100.0%

Total

8,843

Row

num_workers

Number of workers

Label

Value

Counts

Percentages

0 workers

0

2,207

25.0%

1 worker

1

3,884

43.9%

2 workers

2

2,393

27.1%

3 workers

3

267

3.0%

4 workers

4

67

0.8%

5 workers

5

15

0.2%

6 workers

6

7

0.1%

7 workers

7

2

0.0%

9 workers

9

1

0.0%

Total valid

8,843

100.0%

Total

8,843

Row

num_students

Number of students

Label

Value

Counts

Percentages

0 students

0

7,799

88.2%

1 student

1

881

10.0%

2 students

2

130

1.5%

3 students

3

21

0.2%

4 students

4

6

0.1%

5 students

5

3

0.0%

6 students

6

3

0.0%

Total valid

8,843

100.0%

Total

8,843

Row

num_vehicles

Number of vehicles

Label

Value

Counts

Percentages

0 (no vehicles in my household)

0

1,362

15.4%

1 vehicle

1

4,153

47.0%

2 vehicles

2

2,489

28.1%

3 vehicles

3

604

6.8%

4 vehicles

4

176

2.0%

5 vehicles

5

32

0.4%

6 vehicles

6

16

0.2%

7 vehicles

7

7

0.1%

8 or more vehicles

8

4

0.0%

Total valid

8,843

100.0%

Total

8,843

Row

num_bicycles

Number of bicycles

Label

Value

Counts

Percentages

0 (no bicycles in household)

0

3,922

45.1%

1 bicycle

1

1,996

23.0%

2 or more bicycles

2

2,779

32.0%

Missing Response

995

146

Total valid

8,697

100.0%

Total missing

146

Total

8,843

Row

bicycle_type

Type of bicycle
If number of bicycles > 0

Label

Variable Name

Counts

Percentages

Missing Counts

Standard bicycle

bicycle_type_1

4,646

95.6%

3,983

Electric bicycle

bicycle_type_2

629

12.9%

3,983

Other

bicycle_type_997

200

4.1%

3,983

Row

is_complete

Is complete
If surveyable

Label

Value

Counts

Percentages

Yes

1

8,843

100.0%

Total valid

8,843

100.0%

Total

8,843

Row

is_complete_a

Is complete under strict criteria A
If surveyable

Label

Value

Counts

Percentages

No

0

972

11.0%

Yes

1

7,871

89.0%

Total valid

8,843

100.0%

Total

8,843

Row

is_complete_b

Is complete under lenient criteria B
If surveyable

Label

Value

Counts

Percentages

No

0

258

2.9%

Yes

1

8,585

97.1%

Total valid

8,843

100.0%

Total

8,843

Row

pairwise_segment

Sample segment within pairwise sample
If sample segment is pairwise

Label

Value

Counts

Percentages

DBI Sample

1

41

89.1%

TDM Sample

2

5

10.9%

Not a pairwise sample

995

8,797

Total valid

46

100.0%

Total missing

8,797

Total

8,843

Person

Row

num_days_complete

Number of complete days
If surveyable

Label

Value

Counts

Percentages

1 day complete

1

5,720

34.9%

2 days complete

2

92

0.6%

3 days complete

3

104

0.6%

4 days complete

4

142

0.9%

5 days complete

5

356

2.2%

6 days complete

6

1,283

7.8%

7 days complete

7

8,675

53.0%

Missing Response

995

817

Total valid

16,372

100.0%

Total missing

817

Total

17,189

Row

hh_is_complete

Household day completion status

Label

Value

Counts

Percentages

Yes

1

17,189

100.0%

Total valid

17,189

100.0%

Total

17,189

Row

hh_is_complete_a

Person’s household is complete under strict criteria A

Label

Value

Counts

Percentages

No

0

2,326

13.5%

Yes

1

14,863

86.5%

Total valid

17,189

100.0%

Total

17,189

Row

hh_is_complete_b

Person’s household is complete under lenient criteria B

Label

Value

Counts

Percentages

No

0

628

3.7%

Yes

1

16,561

96.3%

Total valid

17,189

100.0%

Total

17,189

Row

surveyable

Survey participant (related to primary member)

Label

Value

Counts

Percentages

No

0

817

4.8%

Yes

1

16,372

95.2%

Total valid

17,189

100.0%

Total

17,189

Row

is_participant

Active participant (age 18+ and surveyable)

Label

Value

Counts

Percentages

No

0

2,948

17.2%

Yes

1

14,241

82.8%

Total valid

17,189

100.0%

Total

17,189

Row

is_complete

Is complete
If surveyable

Label

Value

Counts

Percentages

Yes

1

16,372

100.0%

Missing Response

995

817

Total valid

16,372

100.0%

Total missing

817

Total

17,189

Row

is_complete_a

Is complete under strict criteria A
If surveyable

Label

Value

Counts

Percentages

No

0

750

4.6%

Yes

1

15,622

95.4%

Missing Response

995

817

Total valid

16,372

100.0%

Total missing

817

Total

17,189

Row

is_complete_b

Is complete under lenient criteria B
If surveyable

Label

Value

Counts

Percentages

No

0

222

1.4%

Yes

1

16,150

98.6%

Missing Response

995

817

Total valid

16,372

100.0%

Total missing

817

Total

17,189

Row

ethnicity

If age 18+ and surveyable

Label

Variable Name

Counts

Percentages

Missing Counts

Not of Hispanic, Latino, or Spanish origin

ethnicity_1

10,259

82.0%

4,682

Mexican, Mexican American, Chicano

ethnicity_2

705

5.6%

4,682

Puerto Rican

ethnicity_3

72

0.6%

4,682

Cuban

ethnicity_4

37

0.3%

4,682

Another Hispanic, Latino, or Spanish origin

ethnicity_997

441

3.5%

4,682

Prefer not to answer

ethnicity_999

1,060

8.5%

4,682

Row

race

If age 18+ and surveyable

Label

Variable Name

Counts

Percentages

Missing Counts

African American or Black

race_1

556

4.4%

4,682

American Indian or Alaska Native

race_2

167

1.3%

4,682

Asian

race_3

4,138

33.1%

4,682

Native Hawaiian or other Pacific Islander

race_4

127

1.0%

4,682

White

race_5

6,514

52.1%

4,682

Other race

race_997

470

3.8%

4,682

Prefer not to answer

race_999

1,216

9.7%

4,682

Row

phone_type

Participant phone type
If age 18+ and surveyable

Label

Value

Counts

Percentages

Does not have a smartphone

0

1,743

19.8%

Has an Android phone

1

1,942

22.0%

Has an Apple iPhone

2

4,728

53.6%

Has other smartphone type

3

401

4.5%

Missing Response

995

8,375

Total valid

8,814

100.0%

Total missing

8,375

Total

17,189

Row

can_drive

Household member drives
If age 16+ and surveyable

Label

Value

Counts

Percentages

No, does not drive

0

2,066

14.3%

Yes, drives

1

12,402

85.7%

Missing Response

995

2,721

Total valid

14,468

100.0%

Total missing

2,721

Total

17,189

Row

student

Student status
If age 18+

Label

Value

Counts

Percentages

Full-time student, currently attending some or all classes in-person

0

563

3.7%

Part-time student, currently attending some or all classes in-person

1

302

2.0%

Not a student

2

13,778

91.6%

Part-time student, ONLY online classes

3

309

2.1%

Full-time student, ONLY online classes

4

87

0.6%

Missing Response

995

2,150

Total valid

15,039

100.0%

Total missing

2,150

Total

17,189

Row

relationship

Relationship to household person number 1

Label

Value

Counts

Percentages

Self

0

8,843

51.4%

Spouse, partner

1

3,862

22.5%

Child, child-in-law

2

2,523

14.7%

Parent, parent-in-law

3

685

4.0%

Sibling, sibling-in-law

4

272

1.6%

Other relative (grandchild, cousin)

5

187

1.1%

Nonrelative (friend, roommate, household help)

6

817

4.8%

Total valid

17,189

100.0%

Total

17,189

Row

age

Age of household member

Label

Value

Counts

Percentages

Under 5

1

606

3.5%

5 to 15

2

1,312

7.6%

16 to 17

3

232

1.3%

18 to 24

4

843

4.9%

25 to 34

5

3,363

19.6%

35 to 44

6

2,975

17.3%

45 to 54

7

2,152

12.5%

55 to 64

8

2,360

13.7%

65 to 74

9

2,216

12.9%

75 to 84

10

907

5.3%

85 and up

11

223

1.3%

Total valid

17,189

100.0%

Total

17,189

Row

gender

If person 1 or a related household member

Label

Value

Counts

Percentages

Female

1

7,997

48.8%

Male

2

7,531

46.0%

Non-binary

4

183

1.1%

Other/prefer to self-describe

997

31

0.2%

Prefer not to answer

999

630

3.8%

Missing Response

995

817

Total valid

16,372

100.0%

Total missing

817

Total

17,189

Row

disability

Disability status
If age 18+ and surveyable

Label

Value

Counts

Percentages

No

0

11,237

90.9%

Yes

1

629

5.1%

Prefer not to answer

999

501

4.1%

Missing Response

995

4,822

Total valid

12,367

100.0%

Total missing

4,822

Total

17,189

Row

disability_followup

Type of disability
If has a disability

Label

Variable Name

Counts

Percentages

Missing Counts

Deafness/serious difficulty hearing

disability_followup_1

26

4.1%

16,560

Blindness/serious difficulty seeing even when wearing glasses

disability_followup_2

29

4.6%

16,560

Other physical disability

disability_followup_3

502

79.8%

16,560

Other non-physical disability

disability_followup_4

119

18.9%

16,560

Prefer not to answer

disability_followup_999

30

4.8%

16,560

Row

residence_rent_own

Current residence ownership
If rMove respondent or bMove and person 1

Label

Value

Counts

Percentages

Own/buying (paying a mortgage)

1

6,452

52.2%

Rent

2

4,982

40.3%

Housing provided by job or military

3

27

0.2%

Provided by family, relative, or friend without payment or rent

4

448

3.6%

Other

997

117

0.9%

Prefer not to answer

999

342

2.8%

Missing Response

995

4,821

Total valid

12,368

100.0%

Total missing

4,821

Total

17,189

Row

residence_type

Type of current residence
If rMove respondent or bMove and person 1

Label

Value

Counts

Percentages

Single-family house (detached house)

1

5,862

47.4%

Single-family house attached to one or more houses (rowhouse or townhouse)

2

1,095

8.9%

Building with 2-4 units (duplexes, triplexes, quads)

3

1,398

11.3%

Building with 5-49 apartments/condos

4

2,140

17.3%

Building with 50 or more apartments/condos

5

1,544

12.5%

Senior or age-restricted apartments/condos

6

128

1.0%

Manufactured home/mobile home/trailer

7

127

1.0%

Dorm, group quarters, or institutional housing

9

35

0.3%

Other (e.g., boat, RV, van)

997

39

0.3%

Missing Response

995

4,821

Total valid

12,368

100.0%

Total missing

4,821

Total

17,189

Row

residence_dur

Time spent living at current residence
If rMove respondent or bMove and person 1

Label

Value

Counts

Percentages

Less than a year

1

1,580

12.8%

Between 1 and 2 years

2

1,458

11.8%

Between 2 and 3 years

3

1,315

10.6%

Between 3 and 5 years

4

1,359

11.0%

Between 5 and 10 years

5

1,659

13.4%

Between 10 and 20 years

6

2,175

17.6%

More than 20 years

7

2,822

22.8%

Missing Response

995

4,821

Total valid

12,368

100.0%

Total missing

4,821

Total

17,189

Row

language_at_home

Is language other than English spoken at home
If rMove respondent or bMove and person 1

Label

Value

Counts

Percentages

Yes

1

3,630

29.4%

No

2

8,086

65.4%

Prefer not to answer

3

650

5.3%

Missing Response

995

4,823

Total valid

12,366

100.0%

Total missing

4,823

Total

17,189

Row

participate

Willingness to participate in future studies
If age 18+ and surveyable

Label

Value

Counts

Percentages

No

0

2,565

18.1%

Yes

1

11,584

81.9%

Missing Response

995

3,040

Total valid

14,149

100.0%

Total missing

3,040

Total

17,189

Row

vehicle

Vehicle driven most often
If household has 1+ vehicles and person can drive

Label

Value

Counts

Percentages

Household vehicle 1

6

7,859

68.6%

Household vehicle 2

7

2,593

22.6%

Household vehicle 3

8

455

4.0%

Household vehicle 4

9

97

0.8%

Household vehicle 5

10

14

0.1%

Household vehicle 6

11

6

0.1%

Household vehicle 7

12

1

0.0%

A carshare vehicle (e.g., ZipCar)

18

22

0.2%

None (I do not drive a vehicle)

996

238

2.1%

Other vehicle

997

173

1.5%

Missing Response

995

5,731

Total valid

11,458

100.0%

Total missing

5,731

Total

17,189

Row

employment

Employment status
If age 16+

Label

Value

Counts

Percentages

Employed full-time (paid)

1

7,658

50.1%

Employed part-time (paid)

2

1,212

7.9%

Self-employed

3

1,009

6.6%

Not employed and not looking for work (e.g., retired, stay-at-home parent, student)

5

4,251

27.8%

Unemployed and looking for work

6

809

5.3%

Unpaid volunteer or intern

7

170

1.1%

Employed, but not currently working (e.g., on leave, furloughed 100%)

8

162

1.1%

Missing Response

995

1,918

Total valid

15,271

100.0%

Total missing

1,918

Total

17,189

Row

work_in_region

Work in study region
If employed and travels to one work location all or some days

Label

Value

Counts

Percentages

No

0

71

1.0%

Yes

1

6,738

99.0%

Missing Response

995

10,380

Total valid

6,809

100.0%

Total missing

10,380

Total

17,189

Row

industry

Job industry
If person is employed full/part/self/volunteer

Label

Value

Counts

Percentages

Agriculture, Forestry, Fishing, and Hunting

1

53

0.6%

Mining, Quarrying, and Oil and Gas Extraction

2

17

0.2%

Utilities

3

117

1.2%

Construction

4

253

2.7%

Manufacturing

5

414

4.4%

Wholesale Trade

6

54

0.6%

Retail Trade

7

315

3.3%

Transportation and Warehousing

8

223

2.4%

Information

9

910

9.7%

Finance and Insurance

10

491

5.2%

Real Estate and Rental and Leasing

11

132

1.4%

Professional, Scientific, and Technical Services

12

1,559

16.6%

Management of Companies and Enteprises

13

76

0.8%

Administrative and Support and Waste Management and Remediation Services

14

41

0.4%

Educational Servies

15

995

10.6%

Helath Care and Social Assitance

16

1,240

13.2%

Arts, Entertainment, and Recreation

17

350

3.7%

Accommodation and Food Services

18

344

3.7%

Other Services (except Public Administration)

19

192

2.0%

Public Administration

20

338

3.6%

Other, please specify

997

1,293

13.7%

Missing Response

995

7,782

Total valid

9,407

100.0%

Total missing

7,782

Total

17,189

Row

occupation

If person is employed full/part/self/volunteer

Label

Value

Counts

Percentages

Management

1

730

7.8%

Business and Financial Operations

2

779

8.3%

Computer and Mathematical

3

1,411

15.0%

Architecture and Engineering

4

689

7.3%

Life, Physical, and Social Science

5

330

3.5%

Community and Social Service

6

242

2.6%

Legal

7

309

3.3%

Educational Instruction and Library

8

617

6.6%

Arts, Design, Entertainment, Sports, and Media

9

404

4.3%

Healthcare Practitioners and Technical

10

633

6.7%

Healthcare Support

11

261

2.8%

Protective Service

12

36

0.4%

Food Preparation and Serving Related

13

217

2.3%

Building and Grounds Cleaning and Maintenance

14

61

0.6%

Personal Care and Service

15

111

1.2%

Sales and Related

16

423

4.5%

Office and Administrative Support

17

453

4.8%

Farming, Fishing, and Forestry

18

33

0.4%

Construction and Extraction

19

106

1.1%

Installation, Maintenance, and Repair

20

96

1.0%

Production

21

119

1.3%

Transportation and Material Moving

22

155

1.6%

Military Specific

23

23

0.2%

Other, please specify

997

1,170

12.4%

Missing Response

995

7,781

Total valid

9,408

100.0%

Total missing

7,781

Total

17,189

Row

job_type

Work location type
If person is employed full/part/self/volunteer and surveyable

Label

Value

Counts

Percentages

Go to one work location ONLY (outside of home)

1

3,371

35.7%

Work location regularly varies (different offices/jobsites)

2

794

8.4%

Work ONLY from home or remotely (telework, self-employed)

3

1,712

18.1%

Drive/bike/travel for work (driver, sales, deliveries)

4

130

1.4%

Work remotely some days and travel to a work location some days

5

3,438

36.4%

Missing Response

995

7,744

Total valid

9,445

100.0%

Total missing

7,744

Total

17,189

Row

num_jobs

Number of jobs
If person is employed full/part/self/volunteer/furloughed and surveyable

Label

Value

Counts

Percentages

1 job

1

8,680

90.4%

2 jobs

2

724

7.5%

3 jobs

3

141

1.5%

4 jobs

4

26

0.3%

5 jobs

5

12

0.1%

6 or more jobs

6

18

0.2%

Missing Response

995

7,588

Total valid

9,601

100.0%

Total missing

7,588

Total

17,189

Row

commute_freq

Work commute frequency
If person is employed full/part/self/volunteer and does NOT only work from home nor drive/bike/travel for work

Label

Value

Counts

Percentages

6-7 days a week

1

311

4.1%

5 days a week

2

2,422

32.0%

4 days a week

3

939

12.4%

3 days a week

4

1,519

20.1%

2 days a week

5

920

12.2%

1 day a week

6

575

7.6%

1-3 days a month

7

441

5.8%

Less than monthly

8

210

2.8%

Never

996

231

3.1%

Missing Response

995

9,621

Total valid

7,568

100.0%

Total missing

9,621

Total

17,189

Row

pre_covid_commute_freq

Work commute frequency before March 2020
If age 18+

Label

Value

Counts

Percentages

6-7 days a week

1

686

4.8%

5 days a week

2

7,059

49.6%

4 days a week

3

1,082

7.6%

3 days a week

4

726

5.1%

2 days a week

5

280

2.0%

1 day a week

6

166

1.2%

1-3 days a month

7

225

1.6%

Less than monthly

8

265

1.9%

Never

996

3,745

26.3%

Missing Response

995

2,955

Total valid

14,234

100.0%

Total missing

2,955

Total

17,189

Row

telework_freq

How often teleworks
If person does NOT work only from home

Label

Value

Counts

Percentages

6-7 days a week

1

198

2.6%

5 days a week

2

692

9.0%

4 days a week

3

587

7.6%

3 days a week

4

877

11.4%

2 days a week

5

1,272

16.5%

1 day a week

6

647

8.4%

1-3 days a month

7

545

7.1%

Less than monthly

8

458

6.0%

Never

996

2,420

31.4%

Missing Response

995

9,493

Total valid

7,696

100.0%

Total missing

9,493

Total

17,189

Row

can_telework

Employer allows teleworking
If person commutes 6-7 days a week OR never teleworks

Label

Value

Counts

Percentages

Yes

1

282

11.0%

No

2

2,278

89.0%

Missing Response

995

14,629

Total valid

2,560

100.0%

Total missing

14,629

Total

17,189

Row

work_mode

Mode of transportation to work
If person is employed full/part/self/volunteer and does NOT only work from home or never commutes nor drive/bike/travel for work

Label

Value

Counts

Percentages

Walk (or jog/wheelchair)

1

386

5.3%

Medical transportation service

27

2

0.0%

Household vehicle (or motorcycle)

100

4,429

60.4%

Other vehicle (e.g., friend's car, rental, carshare, work car)

101

157

2.1%

Bus, shuttle, or vanpool

102

744

10.1%

Bicycle

103

395

5.4%

Other

104

132

1.8%

Rail (e.g., train, light rail, trolley, BART, MUNI Metro)

105

986

13.4%

Uber/Lyft, taxi, car service

106

72

1.0%

Micromobility (e.g., scooter, moped, skateboard)

107

33

0.4%

Missing Response

995

9,853

Total valid

7,336

100.0%

Total missing

9,853

Total

17,189

Row

pre_covid_mode

How person got to workplace before COVID
If person is 18 or older and commuted before COVID

Label

Value

Counts

Percentages

Walk (or jog/wheelchair)

1

658

6.3%

Medical transportation service

27

5

0.0%

Household vehicle (or motorcycle)

100

6,006

57.3%

Other vehicle (e.g., friend's car, rental, carshare, work car)

101

243

2.3%

Bus, shuttle, or vanpool

102

1,195

11.4%

Bicycle

103

514

4.9%

Other

104

194

1.8%

Rail (e.g., train, light rail, trolley, BART, MUNI Metro)

105

1,528

14.6%

Uber/Lyft, taxi, car service

106

115

1.1%

Micromobility (e.g., scooter, moped, skateboard)

107

31

0.3%

Missing Response

995

6,700

Total valid

10,489

100.0%

Total missing

6,700

Total

17,189

Row

school_attend

School structure
If person is under 18 and surveyable, and is NOT cared for at home, attending daycare outside of home, or home schooled

Label

Value

Counts

Percentages

Attending classes all in-person at school

1

1,646

97.2%

Attending classes partially in-person at school and partially remote

2

31

1.8%

Attending all remote/online classes

3

17

1.0%

Missing Response

995

15,495

Total valid

1,694

100.0%

Total missing

15,495

Total

17,189

Row

school_mode

Mode of transportation to school
If person is a student who attends all or some classes in person

Label

Value

Counts

Percentages

Walk (or jog/wheelchair)

1

431

16.8%

School bus

24

71

2.8%

Medical transportation service

27

2

0.1%

Household vehicle (or motorcycle)

100

1,421

55.5%

Other vehicle (e.g., friend's car, rental, carshare, work car)

101

76

3.0%

Bus, shuttle, or vanpool

102

202

7.9%

Bicycle

103

176

6.9%

Other

104

52

2.0%

Rail (e.g., train, light rail, trolley, BART, MUNI Metro)

105

101

3.9%

Uber/Lyft, taxi, car service

106

13

0.5%

Micromobility (e.g., scooter, moped, skateboard)

107

14

0.5%

Missing Response

995

14,630

Total valid

2,559

100.0%

Total missing

14,630

Total

17,189

Row

education

Highest level of education completed
If age 18+

Label

Value

Counts

Percentages

Less than high school

1

167

1.4%

High school graduate/GED

2

522

4.2%

Some college

3

1,180

9.5%

Vocational/technical training

4

251

2.0%

Associate degree

5

496

4.0%

Bachelor's degree

6

4,533

36.7%

Graduate/post-graduate degree

7

4,759

38.5%

Prefer not to answer

999

458

3.7%

Missing Response

995

4,823

Total valid

12,366

100.0%

Total missing

4,823

Total

17,189

Row

school_type

Type of school attends
If person is a surveyable adult student OR under 16 and surveyable

Label

Value

Counts

Percentages

Cared for at home

1

241

7.4%

Daycare outside home

2

153

4.7%

Preschool

3

188

5.8%

Home school

4

43

1.3%

Elementary school (public, private, charter)

5

754

23.3%

Middle school (public, private, charter)

6

330

10.2%

High school (public, private, charter)

7

442

13.7%

Vocational/technical school

10

72

2.2%

2-year college

11

277

8.6%

4-year college

12

206

6.4%

Graduate or professional school

13

337

10.4%

Other

997

195

6.0%

Missing Response

995

13,951

Total valid

3,238

100.0%

Total missing

13,951

Total

17,189

Row

school_freq

Frequency of travel to school
If person is a student under 18 who attends some or all in-person classes or attends daycare outside the home

Label

Value

Counts

Percentages

6-7 days a week

1

27

1.5%

5 days a week

2

1,681

91.9%

4 days a week

3

24

1.3%

3 days a week

4

32

1.7%

2 days a week

5

26

1.4%

1 day a week

6

6

0.3%

1-3 days a month

7

2

0.1%

Less than monthly

8

4

0.2%

Never

996

28

1.5%

Missing Response

995

15,359

Total valid

1,830

100.0%

Total missing

15,359

Total

17,189

Row

remote_class_freq

Frequency of remote schooling
If person is a student and not cared for at home nor daycare outside home

Label

Value

Counts

Percentages

6-7 days a week

1

68

2.4%

5 days a week

2

170

6.0%

4 days a week

3

58

2.0%

3 days a week

4

112

3.9%

2 days a week

5

159

5.6%

1 day a week

6

177

6.2%

1-3 days a month

7

75

2.6%

Less than monthly

8

162

5.7%

Never

996

1,861

65.5%

Missing Response

995

14,347

Total valid

2,842

100.0%

Total missing

14,347

Total

17,189

Row

school_in_region

School in study region
If person is under 16 or an adult student, surveyable, and attends school in-person

Label

Value

Counts

Percentages

No

0

54

2.1%

Yes

1

2,524

97.9%

Missing Response

995

14,611

Total valid

2,578

100.0%

Total missing

14,611

Total

17,189

Row

second_home

Regularly spends the night at a second home (e.g., another parent or grandparent’s house, partner or spouse’s home, or a vacation home)
If person is surveyable

Label

Value

Counts

Percentages

Does not regularly spend night at second home

0

15,322

93.6%

Regularly spends night at second home

1

1,050

6.4%

Missing Response

995

817

Total valid

16,372

100.0%

Total missing

817

Total

17,189

Row

second_home_in_region

Second home in study region
If person regularly spends the night at a second home

Label

Value

Counts

Percentages

No

0

249

23.7%

Yes

1

801

76.3%

Missing Response

995

16,139

Total valid

1,050

100.0%

Total missing

16,139

Total

17,189

Row

clipper_card

Has a Clipper Card
If age 18+ and surveyable

Label

Value

Counts

Percentages

Yes

1

9,572

67.7%

No

2

4,577

32.3%

Missing Response

995

3,040

Total valid

14,149

100.0%

Total missing

3,040

Total

17,189

Row

clipper_card_use

How Clipper Card is used
If person has a Clipper Card

Label

Variable Name

Counts

Percentages

Missing Counts

Load with Clipper Cash

clipper_card_use_1

8,739

91.3%

7,617

Load with transit pass(es)

clipper_card_use_2

1,474

15.4%

7,617

Row

transit_pass

Ownership/type of transit pass
If person uses transit and does NOT load their Clipper Card with transit pass(es)

Label

Value

Counts

Percentages

No

0

12,064

95.2%

Yes

1

611

4.8%

Missing Response

995

4,514

Total valid

12,675

100.0%

Total missing

4,514

Total

17,189

Row

transit_pass_cost

Monthly cost for a transit pass
If person has a transit pass or a Clipper Card loaded with transit pass(es)

Label

Value

Counts

Percentages

Knows amount paid

1

1,149

55.1%

Don't know

998

936

44.9%

Missing Response

995

15,104

Total valid

2,085

100.0%

Total missing

15,104

Total

17,189

Row

commute_subsidy

Commute benefits provided by employer
If person is employed full/part/self/volunteer/furloughed

Label

Variable Name

Counts

Percentages

Missing Counts

Free (fully subsidized) parking at work

commute_subsidy_3

3,916

40.9%

7,626

Discounted (partially subsidized) parking at work

commute_subsidy_4

408

4.3%

7,626

Ability to work from home

commute_subsidy_5

2,735

28.6%

7,626

Free/discount transit fare

commute_subsidy_6

1,704

17.8%

7,626

Free/discount vanpool

commute_subsidy_7

328

3.4%

7,626

Cash or incentives for carpooling, walking, or biking to work

commute_subsidy_8

495

5.2%

7,626

Free/discount Uber, Lyft, or other smartphone-app ride service

commute_subsidy_9

200

2.1%

7,626

Free/discount carshare membership/use (e.g., ZipCar)

commute_subsidy_10

65

0.7%

7,626

Free/discount shuttle service

commute_subsidy_11

871

9.1%

7,626

Free/discount bikeshare membership

commute_subsidy_12

149

1.6%

7,626

Free/discount bicycle tune-up/maintinance

commute_subsidy_13

211

2.2%

7,626

Commute coordination/education

commute_subsidy_14

291

3.0%

7,626

None of the above

commute_subsidy_996

2,722

28.5%

7,626

Other

commute_subsidy_997

437

4.6%

7,626

Don't know

commute_subsidy_998

494

5.2%

7,626

Row

commute_subsidy_use

Commute benefit used
If person’s employer provides this benefit

Label

Variable Name

Counts

Percentages

Missing Counts

Free (fully subsidized) parking at work

commute_subsidy_use_3

3,188

51.8%

11,037

Discounted (partially subsidized) parking at work

commute_subsidy_use_4

169

2.7%

11,037

Ability to work from home

commute_subsidy_use_5

2,468

40.1%

11,037

Free/discount transit fare

commute_subsidy_use_6

829

13.5%

11,037

Free/discount vanpool

commute_subsidy_use_7

27

0.4%

11,037

Cash or incentives for carpooling, walking, or biking to work

commute_subsidy_use_8

110

1.8%

11,037

Free/discount Uber, Lyft, or other smartphone-app ride service

commute_subsidy_use_9

72

1.2%

11,037

Free/discount carshare membership/use (e.g., ZipCar)

commute_subsidy_use_10

14

0.2%

11,037

Free/discount shuttle service

commute_subsidy_use_11

370

6.0%

11,037

Free/discount bikeshare membership

commute_subsidy_use_12

32

0.5%

11,037

Free/discount bicycle tune-up/maintinance

commute_subsidy_use_13

36

0.6%

11,037

Commute coordination/education

commute_subsidy_use_14

39

0.6%

11,037

None of the above

commute_subsidy_use_996

939

15.3%

11,037

Row

work_amenity

Work amenity
If person travels to a work location

Label

Variable Name

Counts

Percentages

Missing Counts

Onsite child-care facility

work_amenity_1

373

4.9%

9,622

Dedicated bicycle parking/storage

work_amenity_2

2,822

37.3%

9,622

Dedicated lockers/storage for deliveries

work_amenity_3

702

9.3%

9,622

Dedicated storage area for family items (e.g., strollers)

work_amenity_4

160

2.1%

9,622

Bicycle repair station (e.g., in building, garage)

work_amenity_5

457

6.0%

9,622

Shared bicycles for employee use

work_amenity_6

441

5.8%

9,622

Showers/clothes lockers

work_amenity_7

2,001

26.4%

9,622

Bicycle valet parking

work_amenity_8

74

1.0%

9,622

None of the above

work_amenity_996

3,263

43.1%

9,622

Don't know

work_amenity_998

732

9.7%

9,622

Row

work_amenity_use

Work amenity_use
If person has this amenity available at work

Label

Variable Name

Counts

Percentages

Missing Counts

Onsite child-care facility

work_amenity_use_1

29

0.8%

13,617

Dedicated bicycle parking/storage

work_amenity_use_2

608

17.0%

13,617

Deditcated lockers/storage for deliveries

work_amenity_use_3

214

6.0%

13,617

Dedicated storage area for family items (e.g., strollers)

work_amenity_use_4

26

0.7%

13,617

Bicycle repair station (e.g., in building, garage)

work_amenity_use_5

89

2.5%

13,617

Shared bicycles for employee use

work_amenity_use_6

140

3.9%

13,617

Showers/clothes lockers

work_amenity_use_7

583

16.3%

13,617

Bicycle valet parking

work_amenity_use_8

9

0.3%

13,617

None of the above

work_amenity_use_996

2,307

64.6%

13,617

Don't know

work_amenity_use_998

26

0.7%

13,617

Row

work_park

How parking at work is typically paid for
If person travels to a work location

Label

Value

Counts

Percentages

Parking is always free at/near work, at park & ride, etc.

1

4,361

57.6%

Employer pays ALL parking costs (for me)

2

426

5.6%

Employer offers discounted parking (I pay some)

3

145

1.9%

I personally pay some or all parking costs (employer pays none)

4

712

9.4%

Not applicable (I never drive to work)

996

1,826

24.1%

Don't know

998

98

1.3%

Missing Response

995

9,621

Total valid

7,568

100.0%

Total missing

9,621

Total

17,189

Row

work_pay_cost

How much person personally pays to park at/near work
If person pays for all or part of their parking at work

Label

Value

Counts

Percentages

Cost reported per day

1

437

51.0%

Cost reported per week

2

37

4.3%

Cost reported per month

3

190

22.2%

Cost reported per year

4

50

5.8%

Don't know

998

143

16.7%

Missing Response

995

16,332

Total valid

857

100.0%

Total missing

16,332

Total

17,189

Row

home_park_pass

Does vehicle have a permit/pass for parking at/near home
If vehicle driven most is a household vehicle

Label

Value

Counts

Percentages

Yes, vehicle has permit/pass for parking at/near home

1

1,431

13.0%

No permit/pass needed – typically park at home

2

8,178

74.2%

No permit/pass needed – typically park on street

3

1,189

10.8%

No permit/pass needed – typically park elsewhere

4

227

2.1%

Missing Response

995

6,164

Total valid

11,025

100.0%

Total missing

6,164

Total

17,189

Row

home_park_cost

Cost for permit/pass to park at/near home
If person’s vehicle has a permit/pass for parking at home

Label

Value

Counts

Percentages

Cost reported per day

1

87

6.1%

Cost reported per week

2

11

0.8%

Cost reported per month

3

266

18.6%

Cost reported per year

4

587

41.0%

Don't know

998

479

33.5%

Missing Response

995

15,759

Total valid

1,430

100.0%

Total missing

15,759

Total

17,189

Row

home_vehicle_park

Where vehicle is usually parked at home
If rMove respondent or bMove and person 1, who is licensed and has household vehicles

Label

Value

Counts

Percentages

Home driveway/garage

1

7,798

75.7%

Parking lot/garage

2

984

9.6%

On-street parking

3

1,518

14.7%

Missing Response

995

6,889

Total valid

10,300

100.0%

Total missing

6,889

Total

17,189

Row

home_vehicle_park_pay

Does person pay to park vehicle at home
If rMove respondent or bMove and person 1, who is licensed and has household vehicles

Label

Value

Counts

Percentages

No

0

9,469

91.9%

Yes

1

831

8.1%

Missing Response

995

6,889

Total valid

10,300

100.0%

Total missing

6,889

Total

17,189

Row

home_vehicle_pay_type

How does person pay to park vehicle at home
If person pays to park at home

Label

Value

Counts

Percentages

I pay a separate parking fee to my landlord depending on how many parking spots I use

1

300

36.1%

I pay a separate parking fee to my landlord which is required/bundled with my rent

2

316

38.0%

I pay to park somewhere else

3

215

25.9%

Missing Response

995

16,358

Total valid

831

100.0%

Total missing

16,358

Total

17,189

Row

residence_benefits

Benefits provided by apartment building
If person lives in a building/complex with multiple units or age-restricted apartments/condos

Label

Variable Name

Counts

Percentages

Missing Counts

Free/discount transit fare

residence_benefits_1

57

1.1%

11,979

Free/discount vanpool

residence_benefits_2

22

0.4%

11,979

Free/discount Uber, Lyft trips

residence_benefits_3

16

0.3%

11,979

Free/discount bikeshare membership

residence_benefits_4

15

0.3%

11,979

Free/discount bicycle tune-up service

residence_benefits_5

14

0.3%

11,979

Free/discount carshare membership/use

residence_benefits_6

18

0.3%

11,979

Free/discount shuttle service

residence_benefits_7

83

1.6%

11,979

Cash payment to not park vehicle at residence

residence_benefits_8

9

0.2%

11,979

None of the Above

residence_benefits_996

4,847

93.0%

11,979

Don't know

residence_benefits_998

182

3.5%

11,979

Row

residence_benefits_use

Benefits offered by apartment building that are used
If person’s apartment building provides this benefit

Label

Variable Name

Counts

Percentages

Missing Counts

Free/discount transit fare

residence_benefits_use_1

36

19.9%

17,008

Free/discount vanpool

residence_benefits_use_2

4

2.2%

17,008

Free/discount Uber, Lyft trips

residence_benefits_use_3

6

3.3%

17,008

Free/discount bikeshare membership

residence_benefits_use_4

3

1.7%

17,008

Free/discount bicycle tune-up service

residence_benefits_use_5

3

1.7%

17,008

Free/discount carshare membership/use

residence_benefits_use_6

6

3.3%

17,008

Free/discount shuttle service

residence_benefits_use_7

28

15.5%

17,008

Cash payment to not park vehicle at residence

residence_benefits_use_8

4

2.2%

17,008

Don't know

residence_benefits_use_996

93

51.4%

17,008

None of the Above

residence_benefits_use_998

6

3.3%

17,008

Vehicle

Row

fuel_type

Vehicle fuel type

Label

Value

Counts

Percentages

Gas

1

9,298

77.6%

Hybrid (HEV)

2

1,118

9.3%

Plug-in hybrid (PHEV)

3

315

2.6%

Electric (EV)

4

1,095

9.1%

Diesel

5

119

1.0%

Flex fuel (FFV)

6

25

0.2%

Other (e.g., natural gas, bio-diesel)

997

14

0.1%

Total valid

11,984

100.0%

Total

11,984

Row

toll_transponder

Vehicle has toll transponder

Label

Value

Counts

Percentages

No

0

2,976

24.8%

Yes

1

9,008

75.2%

Total valid

11,984

100.0%

Total

11,984

Row

year

Vehicle year

Label

Value

Counts

Percentages

1980 or earlier

1980

141

1.2%

1981

1981

11

0.1%

1982

1982

3

0.0%

1983

1983

4

0.0%

1984

1984

10

0.1%

1985

1985

14

0.1%

1986

1986

17

0.1%

1987

1987

10

0.1%

1988

1988

9

0.1%

1989

1989

20

0.2%

1990

1990

20

0.2%

1991

1991

29

0.2%

1992

1992

24

0.2%

1993

1993

29

0.2%

1994

1994

31

0.3%

1995

1995

41

0.3%

1996

1996

47

0.4%

1997

1997

80

0.7%

1998

1998

98

0.8%

1999

1999

145

1.2%

2000

2000

171

1.4%

2001

2001

171

1.4%

2002

2002

185

1.5%

2003

2003

242

2.0%

2004

2004

280

2.3%

2005

2005

313

2.6%

2006

2006

357

3.0%

2007

2007

371

3.1%

2008

2008

342

2.9%

2009

2009

286

2.4%

2010

2010

412

3.4%

2011

2011

408

3.4%

2012

2012

475

4.0%

2013

2013

642

5.4%

2014

2014

612

5.1%

2015

2015

674

5.6%

2016

2016

704

5.9%

2017

2017

742

6.2%

2018

2018

791

6.6%

2019

2019

653

5.4%

2020

2020

550

4.6%

2021

2021

559

4.7%

2022

2022

553

4.6%

2023

2023

644

5.4%

2024

2024

64

0.5%

Total valid

11,984

100.0%

Total

11,984

Row

make

Vehicle make

Label

Value

Counts

Percentages

Acura

197

1.6%

Alfa Romeo

12

0.1%

Audi

200

1.7%

BMW

434

3.6%

Bentley

3

0.0%

Bertone

1

0.0%

Bugatti

1

0.0%

Buick

37

0.3%

Cadillac

29

0.2%

Chevrolet

492

4.1%

Chrysler

64

0.5%

Dodge

116

1.0%

Ferrari

3

0.0%

Fiat

30

0.3%

Fisker

1

0.0%

Ford

639

5.3%

GM Electric Vehicle

1

0.0%

GMC

65

0.5%

Genesis

10

0.1%

Geo

2

0.0%

Honda

1,882

15.7%

Hyundai

369

3.1%

Infiniti

71

0.6%

Isuzu

2

0.0%

Jaguar

11

0.1%

Jeep

137

1.1%

Kia

191

1.6%

Lamborghini

1

0.0%

Land Rover

23

0.2%

Lexus

431

3.6%

Lincoln

23

0.2%

Lotus

1

0.0%

Lucid

4

0.0%

MINI

130

1.1%

Maserati

1

0.0%

Mazda

502

4.2%

Mercedes-Benz

301

2.5%

Mercury

13

0.1%

Mitsubishi

33

0.3%

Nissan

504

4.2%

Oldsmobile

2

0.0%

Other

315

2.6%

Plymouth

2

0.0%

Polestar

13

0.1%

Pontiac

15

0.1%

Porsche

74

0.6%

Ram

28

0.2%

Rivian

10

0.1%

Saab

10

0.1%

Saturn

18

0.2%

Scion

52

0.4%

Subaru

667

5.6%

Suzuki

18

0.2%

Tesla

621

5.2%

Toyota

2,679

22.4%

VinFast

1

0.0%

Volkswagen

334

2.8%

Volvo

142

1.2%

smart

16

0.1%

Total valid

11,984

100.0%

Total

11,984

Row

model

Vehicle model

Label

Value

Counts

Percentages

86

1

0.0%

164

1

0.0%

190

1

0.0%

200

7

0.1%

240

5

0.0%

280

1

0.0%

300

7

0.1%

380

1

0.0%

500

9

0.1%

500e

8

0.1%

626

1

0.0%

900

3

0.0%

911

17

0.1%

1500

12

0.1%

2500

3

0.0%

3500

1

0.0%

1 series

6

0.1%

124 Spider

5

0.0%

1500 Classic

2

0.0%

2 series

13

0.1%

3 series

161

1.3%

3000GT

1

0.0%

300C

1

0.0%

300M

3

0.0%

300ZX

1

0.0%

328 GTB

1

0.0%

350Z

1

0.0%

370Z

3

0.0%

4 series

18

0.2%

4Runner

66

0.6%

5 series

43

0.4%

500 ABARTH

3

0.0%

500L

2

0.0%

500c

2

0.0%

550 Maranello

1

0.0%

6 series

1

0.0%

7 series

4

0.0%

718 Boxster

2

0.0%

718 Cayman

2

0.0%

8 series

1

0.0%

850 Series

5

0.0%

9-2X

1

0.0%

9-3

4

0.0%

9-5

1

0.0%

9-7X

1

0.0%

940 Series

6

0.1%

A-Class

2

0.0%

A3

26

0.2%

A3 Sportback e-tron

5

0.0%

A3/S3

1

0.0%

A4

43

0.4%

A4 allroad

3

0.0%

A5

7

0.1%

A6

9

0.1%

A8

2

0.0%

AMG GT

1

0.0%

ATS

5

0.0%

Acadia

3

0.0%

Accent

24

0.2%

Accord

347

2.9%

Accord Crosstour

1

0.0%

Accord Hybrid

31

0.3%

Aerio

1

0.0%

Air

4

0.0%

Allante

1

0.0%

Altima

95

0.8%

Amanti

1

0.0%

Ariya

2

0.0%

Armada

2

0.0%

Ascent

8

0.1%

Aspen

2

0.0%

Astro

4

0.0%

Atlas

2

0.0%

Atlas Cross Sport

2

0.0%

Avalanche

2

0.0%

Avalon

49

0.4%

Avalon Hybrid

2

0.0%

Avenger

5

0.0%

Aveo

1

0.0%

Aveo5

1

0.0%

Aviator

1

0.0%

Azera

2

0.0%

Azure

1

0.0%

B-Class

2

0.0%

B-Series

3

0.0%

BRZ

5

0.0%

Baja

2

0.0%

Beetle

8

0.1%

Blazer

3

0.0%

Blazer EV

1

0.0%

Bolt EUV

43

0.4%

Bolt EV

89

0.7%

Boxster

10

0.1%

Bronco

3

0.0%

Bronco Sport

5

0.0%

C-Class

63

0.5%

C-HR

12

0.1%

C-Max Energi

10

0.1%

C-Max Hybrid

14

0.1%

C1500

3

0.0%

C2500

1

0.0%

C30

6

0.1%

C3500

1

0.0%

C70

4

0.0%

CC

2

0.0%

CJ7

2

0.0%

CL

3

0.0%

CLA-Class

9

0.1%

CLK-Class

11

0.1%

CR-V

344

2.9%

CR-V Hybrid

19

0.2%

CR-Z

4

0.0%

CT 200h

28

0.2%

CT4

1

0.0%

CTS

2

0.0%

CTS-V

1

0.0%

CX-3

11

0.1%

CX-30

18

0.2%

CX-5

120

1.0%

CX-50

6

0.1%

CX-7

4

0.0%

CX-9

22

0.2%

CX-90

1

0.0%

Cabrio

2

0.0%

Caliber

2

0.0%

Camaro

14

0.1%

Camry

418

3.5%

Camry Hybrid

19

0.2%

Camry Solara

10

0.1%

Canyon

5

0.0%

Caprice

1

0.0%

Captiva Sport

1

0.0%

Caravan

9

0.1%

Carrera GT

1

0.0%

Cavalier

6

0.1%

Cayenne

13

0.1%

Cayman

8

0.1%

Celebrity

2

0.0%

Celica

4

0.0%

Century

2

0.0%

Challenger

9

0.1%

Charger

11

0.1%

Cherokee

20

0.2%

Chiron

1

0.0%

City Golf

1

0.0%

Civic

473

3.9%

Civic Type R

1

0.0%

Civic del SOL

5

0.0%

Clarity

29

0.2%

Clubman

2

0.0%

Cobalt

3

0.0%

Colorado

14

0.1%

Commander

1

0.0%

Compass

7

0.1%

Concorde

2

0.0%

Continental

1

0.0%

Cooper

111

0.9%

Cooper Countryman

11

0.1%

Corolla

403

3.4%

Corolla Cross

3

0.0%

Corolla Hatchback

5

0.0%

Corolla Hybrid

5

0.0%

Corsica

1

0.0%

Corvette

13

0.1%

Corvette Grand Sport

1

0.0%

Cougar

1

0.0%

Crossfire

1

0.0%

Crosstour

3

0.0%

Crosstrek

101

0.8%

Crown Hybrid

1

0.0%

Crown Victoria

9

0.1%

Cruze

19

0.2%

Cruze Limited

1

0.0%

Cutlass Supreme

1

0.0%

DTS

2

0.0%

Dakota

7

0.1%

Dart

3

0.0%

Defender 110

1

0.0%

Defender 130

1

0.0%

Deville

1

0.0%

Discovery Sport

3

0.0%

Durango

9

0.1%

E-450 Super Duty

1

0.0%

E-Class

54

0.5%

EL

1

0.0%

ELR

1

0.0%

EQB-Class

1

0.0%

EQS-Class

3

0.0%

ES 250

1

0.0%

ES 300

9

0.1%

ES 300h

18

0.2%

ES 330

6

0.1%

ES 350

51

0.4%

EV6

11

0.1%

EX35

2

0.0%

Echo

10

0.1%

Eclipse

1

0.0%

Econoline

10

0.1%

Ecosport

4

0.0%

Edge

24

0.2%

Elantra

78

0.7%

Elantra GT

7

0.1%

Elantra HEV

4

0.0%

Elantra Touring

4

0.0%

Eldorado

1

0.0%

Electrified G80

1

0.0%

Element

29

0.2%

Elise

1

0.0%

Enclave

3

0.0%

Encore

4

0.0%

Encore GX

1

0.0%

Endeavor

2

0.0%

Envision

1

0.0%

Eos

2

0.0%

Equinox

24

0.2%

Escalade

3

0.0%

Escalade ESV

1

0.0%

Escalade EXT

1

0.0%

Escape

79

0.7%

Escape Hybrid

11

0.1%

Escort

5

0.0%

EuroVan

5

0.0%

Excursion

3

0.0%

Expedition

11

0.1%

Expedition EL

1

0.0%

Expedition MAX

2

0.0%

Explorer

40

0.3%

Explorer Sport

1

0.0%

Explorer Sport Trac

4

0.0%

Express

3

0.0%

F-150

73

0.6%

F-150 Lightning

1

0.0%

F-250

15

0.1%

F-350

11

0.1%

F-450

1

0.0%

F-Pace

1

0.0%

F-Type

2

0.0%

F430

1

0.0%

FJ Cruiser

7

0.1%

FR-S

4

0.0%

FX35

4

0.0%

Fiesta

21

0.2%

Firebird

2

0.0%

Fit

204

1.7%

Five Hundred

1

0.0%

Flex

8

0.1%

Focus

55

0.5%

Forester

211

1.8%

Forte

13

0.1%

Frontier

33

0.3%

Fusion

48

0.4%

Fusion Energi

9

0.1%

Fusion Hybrid

15

0.1%

G-Class

2

0.0%

G1500

1

0.0%

G2500 Vandura

1

0.0%

G35

10

0.1%

G3500

1

0.0%

G3500 Vandura

1

0.0%

G35x

1

0.0%

G37

9

0.1%

G37x

3

0.0%

G5

1

0.0%

G6

1

0.0%

G70

1

0.0%

G8

1

0.0%

G80

1

0.0%

GL-Class

7

0.1%

GLA-Class

17

0.1%

GLB-Class

5

0.0%

GLC-Class

24

0.2%

GLE-Class

15

0.1%

GLK-Class

17

0.1%

GLS-Class

5

0.0%

GR Supra

2

0.0%

GR86

1

0.0%

GS 300

8

0.1%

GS 350

10

0.1%

GS 430

2

0.0%

GS 450h

2

0.0%

GS 460

1

0.0%

GTI

41

0.3%

GTO

1

0.0%

GTV-6

1

0.0%

GV60

3

0.0%

GV70

2

0.0%

GV80

2

0.0%

GX 460

4

0.0%

GX 470

6

0.1%

Galant

2

0.0%

Gallardo

1

0.0%

Genesis

9

0.1%

Genesis Coupe

2

0.0%

Giulia

4

0.0%

Gladiator

1

0.0%

Golf

35

0.3%

Golf Alltrack

10

0.1%

Golf R

1

0.0%

Golf SportWagen

21

0.2%

GranSport

1

0.0%

Grand Caravan

20

0.2%

Grand Cherokee

31

0.3%

Grand Cherokee L

2

0.0%

Grand Highlander Hybrid

1

0.0%

Grand Marquis

4

0.0%

Grand Voyager

1

0.0%

HHR

4

0.0%

HR-V

62

0.5%

Highlander

125

1.0%

Highlander Hybrid

13

0.1%

I-Pace

2

0.0%

I30

2

0.0%

ID.4

28

0.2%

ILX

11

0.1%

IS 200t

4

0.0%

IS 250

35

0.3%

IS 250C

1

0.0%

IS 300

10

0.1%

IS 350

8

0.1%

Impala

13

0.1%

Impreza

89

0.7%

Insight

33

0.3%

Integra

11

0.1%

Intrigue

1

0.0%

Ion

2

0.0%

Ioniq 5

19

0.2%

Ioniq 6

3

0.0%

Ioniq Electric

2

0.0%

Ioniq Hybrid

8

0.1%

Ioniq Plug-In Hybrid

7

0.1%

J30

1

0.0%

Jetta

69

0.6%

Jimmy

1

0.0%

Journey

3

0.0%

Juke

10

0.1%

Justy

1

0.0%

K1500

1

0.0%

K5

2

0.0%

Kicks

10

0.1%

Kona

12

0.1%

Kona EV

18

0.2%

L Series

3

0.0%

LC 500

2

0.0%

LEAF

83

0.7%

LR3

1

0.0%

LS 400

5

0.0%

LS 430

9

0.1%

LS 460

11

0.1%

LX 450

2

0.0%

LX 470

2

0.0%

LX 570

1

0.0%

LaCrosse

5

0.0%

Lancer

2

0.0%

Lancer Evolution

1

0.0%

Lancer Sportback

1

0.0%

Land Cruiser

7

0.1%

LeSabre

11

0.1%

Legacy

29

0.2%

Legend

1

0.0%

Liberty

8

0.1%

Lucerne

1

0.0%

Lumina

2

0.0%

M-Class

17

0.1%

M2

2

0.0%

M3

5

0.0%

M35

6

0.1%

M37

2

0.0%

M37x

1

0.0%

M4

2

0.0%

M45

1

0.0%

M5

1

0.0%

MDX

62

0.5%

MKC

2

0.0%

MKS

1

0.0%

MKX

5

0.0%

MKZ

5

0.0%

MPV

5

0.0%

MR2 Spyder

8

0.1%

MX-30 EV

1

0.0%

MX-5 Miata

35

0.3%

MX-5 Miata RF

8

0.1%

Macan

17

0.1%

Magnum

1

0.0%

Malibu

16

0.1%

Malibu Limited

1

0.0%

Mariner

1

0.0%

Mark VIII

1

0.0%

Matrix

24

0.2%

Maverick

8

0.1%

Maxima

11

0.1%

Mazda2

9

0.1%

Mazda3

162

1.4%

Mazda3 Hatchback

11

0.1%

Mazda5

20

0.2%

Mazda6

37

0.3%

Mazdaspeed3

2

0.0%

Metris

2

0.0%

Mirage

4

0.0%

Mirai

10

0.1%

Model 3

284

2.4%

Model S

58

0.5%

Model X

33

0.3%

Model Y

245

2.0%

Montego

1

0.0%

Montero

2

0.0%

Montero Sport

2

0.0%

Mountaineer

2

0.0%

Mulsanne

1

0.0%

Murano

10

0.1%

Murano CrossCabriolet

1

0.0%

Mustang

41

0.3%

Mustang Mach-E

23

0.2%

NV200

3

0.0%

NV3500

1

0.0%

NX 200t

7

0.1%

NX 300

4

0.0%

NX 300h

9

0.1%

NX 350

4

0.0%

NX 350h

4

0.0%

NX 450h+

1

0.0%

Navigator

2

0.0%

Navigator L

1

0.0%

Neon

2

0.0%

New Beetle

14

0.1%

Niro

32

0.3%

Niro EV

10

0.1%

Niro PHEV

12

0.1%

Nitro

2

0.0%

Ocean

1

0.0%

Odyssey

138

1.2%

Optima

17

0.1%

Other

522

4.4%

Outback

192

1.6%

Outlander

8

0.1%

Outlander PHEV

3

0.0%

Outlander Sport

3

0.0%

Outlook

1

0.0%

PT Cruiser

2

0.0%

Paceman

1

0.0%

Pacifica

20

0.2%

Palisade

4

0.0%

Panamera

2

0.0%

Park Avenue

1

0.0%

Paseo

2

0.0%

Passat

20

0.2%

Passport

3

0.0%

Pathfinder

13

0.1%

Patriot

8

0.1%

Pickup

34

0.3%

Pilot

70

0.6%

Pininfarina

1

0.0%

Polestar 1

1

0.0%

Polestar 2

12

0.1%

Prelude

1

0.0%

Previa

2

0.0%

Prius

462

3.9%

Prius Plug-In

26

0.2%

Prius Prime

55

0.5%

Prius c

79

0.7%

Prius v

39

0.3%

Prizm

5

0.0%

ProMaster 1500

4

0.0%

ProMaster 2500

3

0.0%

ProMaster 3500

1

0.0%

ProMaster City

1

0.0%

Protege

5

0.0%

Protege5

3

0.0%

Q3

11

0.1%

Q4 e-tron

4

0.0%

Q4 e-tron Sportback

2

0.0%

Q40

1

0.0%

Q5

37

0.3%

Q5 Sportback

1

0.0%

Q5 e

4

0.0%

Q50

6

0.1%

Q60

1

0.0%

Q7

11

0.1%

Q8

2

0.0%

Q8 e-tron

2

0.0%

QX30

1

0.0%

QX4

3

0.0%

QX50

4

0.0%

QX55

1

0.0%

QX60

10

0.1%

QX70

1

0.0%

QX80

1

0.0%

Quest

4

0.0%

R-Class

2

0.0%

R1S

8

0.1%

R1T

2

0.0%

R32

1

0.0%

RAV4

289

2.4%

RAV4 EV

2

0.0%

RAV4 Hybrid

10

0.1%

RAV4 Prime

24

0.2%

RC 300

1

0.0%

RC 350

7

0.1%

RDX

39

0.3%

RL

2

0.0%

RS5

1

0.0%

RSX

7

0.1%

RX 300

8

0.1%

RX 330

11

0.1%

RX 350

74

0.6%

RX 350L

2

0.0%

RX 350h

1

0.0%

RX 400h

8

0.1%

RX 450h

27

0.2%

RX 450hL

1

0.0%

RX 500h

1

0.0%

RX-7

1

0.0%

RX-8

1

0.0%

Rabbit

6

0.1%

Raider

1

0.0%

Rainier

1

0.0%

Ram Pickup

15

0.1%

Ram Truck

1

0.0%

Ram Van

4

0.0%

Range Rover

3

0.0%

Range Rover Evoque

6

0.1%

Range Rover Sport

7

0.1%

Ranger

40

0.3%

Regal

2

0.0%

Regal TourX

1

0.0%

Rendezvous

1

0.0%

Renegade

6

0.1%

Ridgeline

13

0.1%

Rio

7

0.1%

Rio Cinco

1

0.0%

Riviera

1

0.0%

Roadster

1

0.0%

Rodeo

1

0.0%

Rogue

70

0.6%

Rogue Select

3

0.0%

Rogue Sport

1

0.0%

Rondo

1

0.0%

Routan

1

0.0%

S Series

1

0.0%

S-Class

4

0.0%

S-Type

1

0.0%

S10

8

0.1%

S2000

9

0.1%

S3

5

0.0%

S4

2

0.0%

S40

4

0.0%

S5

3

0.0%

S60

18

0.2%

S70

2

0.0%

S80

3

0.0%

S90

1

0.0%

SC 300

1

0.0%

SC 400

1

0.0%

SC 430

3

0.0%

SL-Class

2

0.0%

SLK-Class

11

0.1%

SQ5

4

0.0%

SRX

2

0.0%

SSR

1

0.0%

STS

1

0.0%

SX4 Sedan

2

0.0%

Sable

2

0.0%

Safari

1

0.0%

Santa Cruz

1

0.0%

Santa Fe

23

0.2%

Santa Fe Hybrid

4

0.0%

Santa Fe Plug-In Hybrid

1

0.0%

Santa Fe Sport

8

0.1%

Santa Fe XL

3

0.0%

Savana

4

0.0%

Scrambler CJ8

1

0.0%

Sebring

4

0.0%

Sedona

6

0.1%

Seltos

1

0.0%

Sentra

54

0.5%

Sequoia

9

0.1%

Sienna

139

1.2%

Sierra

25

0.2%

Silverado

39

0.3%

Sky

2

0.0%

Skylark

1

0.0%

Solterra

1

0.0%

Sonata

50

0.4%

Sonata Hybrid

16

0.1%

Sonic

8

0.1%

Sonoma

1

0.0%

Sorento

11

0.1%

Sorento Hybrid

1

0.0%

Soul

35

0.3%

Soul EV

5

0.0%

Spark

13

0.1%

Spark EV

4

0.0%

Spectra

3

0.0%

Spider

2

0.0%

Sportage

14

0.1%

Sportage Hybrid

2

0.0%

Sprinter 2500

12

0.1%

Sprinter 3500

2

0.0%

Sprinter 3500 XD

1

0.0%

Stelvio

4

0.0%

Stinger

1

0.0%

Stratus

1

0.0%

Suburban

17

0.1%

Sunfire

1

0.0%

Supra

1

0.0%

T100

3

0.0%

TL

26

0.2%

TLX

9

0.1%

TSX

22

0.2%

TT

6

0.1%

Tacoma

149

1.2%

Tahoe

25

0.2%

Taos

5

0.0%

Taurus

8

0.1%

Taurus X

1

0.0%

Taycan

2

0.0%

Telluride

5

0.0%

Tercel

4

0.0%

Terrain

8

0.1%

Thunderbird

2

0.0%

Tiburon

3

0.0%

Tiguan

33

0.3%

Tiguan Limited

1

0.0%

Titan

10

0.1%

Touareg

3

0.0%

Town & Country

14

0.1%

Town Car

5

0.0%

Tracer

1

0.0%

Tracker

1

0.0%

TrailBlazer

10

0.1%

Transit Connect

7

0.1%

Transit Van

6

0.1%

Transit Wagon

1

0.0%

Transporter II

1

0.0%

Traverse

3

0.0%

Trax

5

0.0%

Tribute

6

0.1%

Trooper

1

0.0%

Truck

1

0.0%

Tucson

39

0.3%

Tucson Hybrid

2

0.0%

Tucson Plug-In Hybrid

3

0.0%

Tundra

51

0.4%

UX 200

2

0.0%

UX 250h

11

0.1%

V40

2

0.0%

V50

4

0.0%

V60

11

0.1%

V60 Cross Country

2

0.0%

V70

8

0.1%

V70 XC

1

0.0%

VF 8

1

0.0%

VUE

6

0.1%

Van

1

0.0%

Vanagon

4

0.0%

Veloster

7

0.1%

Venue

5

0.0%

Venza

25

0.2%

Verano

1

0.0%

Versa

49

0.4%

Versa Note

8

0.1%

Vibe

7

0.1%

Vigor

1

0.0%

Villager

1

0.0%

Volt

58

0.5%

Voyager

1

0.0%

W250 Pickup

3

0.0%

WRX

8

0.1%

WRX STI

3

0.0%

Windstar

1

0.0%

Wrangler

33

0.3%

Wrangler JK

1

0.0%

Wrangler Unlimited

14

0.1%

Wrangler Unlimited JK

1

0.0%

X-Type

1

0.0%

X1

28

0.2%

X1/9

1

0.0%

X2

3

0.0%

X3

52

0.4%

X4

2

0.0%

X5

27

0.2%

X6

1

0.0%

X7

1

0.0%

XC40

8

0.1%

XC60

17

0.1%

XC70

4

0.0%

XC90

28

0.2%

XF

1

0.0%

XK

1

0.0%

XK8

1

0.0%

XL-7

1

0.0%

XT5

5

0.0%

XV Crosstrek

15

0.1%

Xterra

11

0.1%

Yaris

48

0.4%

Yaris iA

3

0.0%

Yukon

6

0.1%

Yukon XL

7

0.1%

Z3

9

0.1%

Z4

8

0.1%

allroad

3

0.0%

bZ4X

1

0.0%

cube

5

0.0%

e-Golf

12

0.1%

e-tron

6

0.1%

fortwo

16

0.1%

i3

10

0.1%

i4 Gran Coupe

4

0.0%

iA

1

0.0%

iQ

3

0.0%

iX

1

0.0%

tC

9

0.1%

xA

11

0.1%

xB

12

0.1%

xD

12

0.1%

Total valid

11,984

100.0%

Total

11,984

Day

Row

hh_is_complete

Household day completion status

Label

Value

Counts

Percentages

Yes

1

91,588

100.0%

Total valid

91,588

100.0%

Total

91,588

Row

hh_is_complete_a

Person’s household is complete under strict criteria A

Label

Value

Counts

Percentages

No

0

15,743

17.2%

Yes

1

75,845

82.8%

Total valid

91,588

100.0%

Total

91,588

Row

hh_is_complete_b

Person’s household is complete under lenient criteria B

Label

Value

Counts

Percentages

No

0

4,263

4.7%

Yes

1

87,325

95.3%

Total valid

91,588

100.0%

Total

91,588

Row

surveyable

Survey participant (related to primary member)

Label

Value

Counts

Percentages

Yes

1

91,588

100.0%

Total valid

91,588

100.0%

Total

91,588

Row

is_participant

Active participant (age 18+ and surveyable)

Label

Value

Counts

Percentages

No

0

12,601

13.8%

Yes

1

78,987

86.2%

Total valid

91,588

100.0%

Total

91,588

Row

is_complete

Is complete
If surveyable

Label

Value

Counts

Percentages

No

0

14,601

15.9%

Yes

1

76,987

84.1%

Total valid

91,588

100.0%

Total

91,588

Row

is_complete_a

Is complete under strict criteria A
If surveyable

Label

Value

Counts

Percentages

No

0

29,991

32.7%

Yes

1

61,597

67.3%

Total valid

91,588

100.0%

Total

91,588

Row

is_complete_b

Is complete under lenient criteria B
If surveyable

Label

Value

Counts

Percentages

No

0

19,721

21.5%

Yes

1

71,867

78.5%

Total valid

91,588

100.0%

Total

91,588

Row

travel_dow

Travel day of week

Label

Value

Counts

Percentages

Monday

1

13,479

14.7%

Tuesday

2

13,571

14.8%

Wednesday

3

13,528

14.8%

Thursday

4

13,402

14.6%

Friday

5

12,536

13.7%

Saturday

6

12,536

13.7%

Sunday

7

12,536

13.7%

Total valid

91,588

100.0%

Total

91,588

Row

hh_day_complete

Day is complete for all household participants

Label

Value

Counts

Percentages

No

0

28,756

31.4%

Yes

1

62,832

68.6%

Total valid

91,588

100.0%

Total

91,588

Row

hh_day_complete_a

Day is complete for all household participants under strict criteria A

Label

Value

Counts

Percentages

No

0

47,258

51.6%

Yes

1

44,330

48.4%

Total valid

91,588

100.0%

Total

91,588

Row

hh_day_complete_b

Day is complete for all household participants under lenient criteria B

Label

Value

Counts

Percentages

No

0

35,369

38.6%

Yes

1

56,219

61.4%

Total valid

91,588

100.0%

Total

91,588

Row

begin_day

Where participant began their day

Label

Value

Counts

Percentages

Home

1

76,339

93.5%

Someone else's home

2

1,905

2.3%

Work

3

510

0.6%

Your/Their other home (e.g., other parent, second home)

4

873

1.1%

Traveling (e.g., red-eye flight)

5

150

0.2%

Temporary lodging (e.g., hotel, vacation rental)

7

1,548

1.9%

Other

997

361

0.4%

Missing Response

995

9,902

Total valid

81,686

100.0%

Total missing

9,902

Total

91,588

Row

end_day

Where participant ended their day

Label

Value

Counts

Percentages

Home

1

73,306

92.0%

Someone else's home

2

2,089

2.6%

Work

3

918

1.2%

Your/Their other home (e.g., other parent, second home)

4

833

1.0%

Traveling (e.g., red-eye flight)

5

229

0.3%

Temporary lodging (e.g., hotel, vacation rental)

7

1,678

2.1%

Other

997

590

0.7%

Missing Response

995

11,945

Total valid

79,643

100.0%

Total missing

11,945

Total

91,588

Row

school_daily

Student traveled to school
If person is under 18 and attends all or some classes in-person

Label

Value

Counts

Percentages

Yes

1

6,146

62.5%

No

2

3,689

37.5%

Missing Response

995

81,753

Total valid

9,835

100.0%

Total missing

81,753

Total

91,588

Row

attend_school

Traveled to school
If person attends in-person school or daycare at least some of the time AND school was not selected as a purpose on travel day thus far for a trip added to this child’s roster (copied trips are not checked)

Label

Variable Name

Counts

Percentages

Missing Counts

Yes, person traveled to school on date

attend_school_1

1,211

87.3%

90,201

Yes, person traveled to another location for school (e.g., friend's house, parent's work) on date

attend_school_2

18

1.3%

90,201

No, person did not travel to school on date

attend_school_3

148

10.7%

90,201

Don't know

attend_school_998

6

0.4%

90,201

Prefer not to answer

attend_school_999

15

1.1%

90,201

Row

attend_school_no

Reason for not attending school
If did not attend school or daycare on travel day

Label

Variable Name

Counts

Percentages

Missing Counts

person was sick or quarantining

attend_school_no_1

65

43.9%

91,440

person attended class online from home

attend_school_no_2

11

7.4%

91,440

person attended class online from another location (e.g., friend's)

attend_school_no_3

0

0.0%

91,440

School was scheduled to be closed (e.g., vacation, holiday)

attend_school_no_4

35

23.6%

91,440

School was closed or adjusted due to weather event (e.g., snow delay)

attend_school_no_5

3

2.0%

91,440

Other

attend_school_no_997

30

20.3%

91,440

Don't know

attend_school_no_998

0

0.0%

91,440

Prefer not to answer

attend_school_no_999

4

2.7%

91,440

Row

delivery

Type of delivery
If rMove respondent or bMove and person 1

Label

Variable Name

Counts

Percentages

Missing Counts

Take-out/prepared food delivered to home

delivery_2

3,739

4.9%

15,741

Someone came to do work at home (e.g., babysitter, housecleaning, lawn)

delivery_3

1,922

2.5%

15,741

Groceries delivered to home

delivery_4

1,621

2.1%

15,741

Received packages at home (e.g., USPS, FedEx, UPS)

delivery_5

24,615

32.5%

15,741

Received personal packages at work

delivery_6

498

0.7%

15,741

Received packages at another location (e.g., Amazon Locker, package pick-up point)

delivery_7

1,385

1.8%

15,741

Other items delivered to home (e.g., appliance)

delivery_8

427

0.6%

15,741

Other items delivered to work

delivery_9

471

0.6%

15,741

None of the above

delivery_996

45,753

60.3%

15,741

Row

made_travel

Made trips on travel day
If person is using rMove, has zero trips for the day (at this point), did not report going to school/daycare, and their begin and end day locations are the same (except for “Other”)

Label

Value

Counts

Percentages

Yes, made trips

1

192

41.6%

No, did not go anywhere or make trips

2

198

42.9%

Don't know

998

46

10.0%

Prefer not to answer

999

26

5.6%

Missing Response

995

91,126

Total valid

462

100.0%

Total missing

91,126

Total

91,588

Row

no_travel

Reason for no travel on date
If person is using rMove and made_travel is no or don’t know OR if person is not using rMove and reported zero trips

Label

Variable Name

Counts

Percentages

Missing Counts

I did make trips today

no_travel_1

1,902

12.8%

76,766

Not scheduled to work/took day off

no_travel_2

1,714

11.6%

76,766

Worked at home for pay (e.g., telework)

no_travel_3

3,525

23.8%

76,766

Hung out around home

no_travel_4

6,978

47.1%

76,766

Scheduled school closure (e.g., holiday)

no_travel_5

38

0.3%

76,766

No available transportation (e.g., no car, no bus)

no_travel_6

122

0.8%

76,766

Sick or quarantining (self or others)

no_travel_7

1,226

8.3%

76,766

Waited for visitor/delivery (e.g., plumber)

no_travel_8

331

2.2%

76,766

Kids did online/remote/home school

no_travel_9

37

0.2%

76,766

Weather conditions (e.g., snowstorm)

no_travel_11

403

2.7%

76,766

Person may have made trips, but I don't know when or where

no_travel_12

48

0.3%

76,766

Other reason

no_travel_99

975

6.6%

76,766

Trip

Row

hh_is_complete

Household day completion status

Label

Value

Counts

Percentages

Yes

1

373,511

100.0%

Total valid

373,511

100.0%

Total

373,511

Row

travel_dow

Travel day of week

Label

Value

Counts

Percentages

Monday

1

49,255

13.2%

Tuesday

2

55,036

14.7%

Wednesday

3

55,075

14.7%

Thursday

4

55,534

14.9%

Friday

5

56,483

15.1%

Saturday

6

55,694

14.9%

Sunday

7

46,434

12.4%

Total valid

373,511

100.0%

Total

373,511

Row

day_is_complete

Day survey completion status

Label

Value

Counts

Percentages

No

0

32,627

8.7%

Yes

1

340,884

91.3%

Total valid

373,511

100.0%

Total

373,511

Row

trip_survey_complete

Trip survey completion status

Label

Value

Counts

Percentages

No

0

10,407

2.9%

Yes

1

350,787

97.1%

Missing Response

995

12,317

Total valid

361,194

100.0%

Total missing

12,317

Total

373,511

Row

o_in_region

Origin in study region

Label

Value

Counts

Percentages

No

0

17,791

4.8%

Yes

1

355,720

95.2%

Total valid

373,511

100.0%

Total

373,511

Row

d_in_region

Destination is in study region

Label

Value

Counts

Percentages

No

0

18,134

4.9%

Yes

1

355,377

95.1%

Total valid

373,511

100.0%

Total

373,511

Row

driver

Driver of vehicle
If trip mode (or transit access/egress mode) is a vehicle or motorcycle, and there are 2 or more travelers (unless all others are unlicensed household members)

Label

Value

Counts

Percentages

Driver

1

149,904

75.3%

Passenger

2

48,442

24.3%

Both (switched drivers during trip)

3

702

0.4%

Missing Response

995

174,463

Total valid

199,048

100.0%

Total missing

174,463

Total

373,511

Row

mode_type

Mode type

Label

Value

Counts

Percentages

Walk

1

102,667

28.3%

Bike

2

9,349

2.6%

Bikeshare

3

636

0.2%

Scootershare

4

264

0.1%

Taxi

5

292

0.1%

TNC

6

3,939

1.1%

Other

7

1,925

0.5%

Car

8

220,623

60.7%

Carshare

9

380

0.1%

School bus

10

57

0.0%

Shuttle/vanpool

11

1,434

0.4%

Ferry

12

341

0.1%

Transit

13

20,502

5.6%

Long distance passenger

14

905

0.2%

Missing Response

995

10,197

Total valid

363,314

100.0%

Total missing

10,197

Total

373,511

Row

mode_1

Trip mode 1

Label

Value

Counts

Percentages

Walk (or jog/wheelchair)

1

78,004

22.4%

Standard bicycle (my household's)

2

6,944

2.0%

Borrowed bicycle (e.g., a friend's)

3

65

0.0%

Other rented bicycle

4

28

0.0%

Other

5

1,124

0.3%

Household vehicle 1

6

139,029

39.8%

Household vehicle 2

7

50,350

14.4%

Household vehicle 3

8

8,151

2.3%

Household vehicle 4

9

1,468

0.4%

Household vehicle 5

10

210

0.1%

Household vehicle 6

11

72

0.0%

Household vehicle 7

12

24

0.0%

Household vehicle 8

13

5

0.0%

Other vehicle in household

16

2,837

0.8%

Rental car

17

2,240

0.6%

Carshare service (e.g., Zipcar)

18

247

0.1%

Vanpool

21

10

0.0%

Other vehicle (not my household's)

22

639

0.2%

Local (public) bus

23

17,160

4.9%

School bus

24

47

0.0%

Intercity bus (e.g., Greyhound, Megabus)

25

23

0.0%

Other private shuttle/bus (e.g., a hotel's, an airport's)

26

323

0.1%

Paratransit/Dial-A-Ride

27

10

0.0%

Other bus

28

142

0.0%

BART

30

6,380

1.8%

Airplane/helicopter

31

835

0.2%

Car from work

33

2,992

0.9%

Friend/relative/colleague's car

34

11,777

3.4%

Regular taxi (e.g., Yellow Cab)

36

202

0.1%

University/college shuttle/bus

38

201

0.1%

Intercity/Commuter rail (e.g., Altamount ACE, Amtrak, Caltrain)

41

1,677

0.5%

Other rail

42

631

0.2%

Skateboard or rollerblade

43

90

0.0%

Golf cart

44

62

0.0%

ATV

45

22

0.0%

Other motorcycle in household

47

79

0.0%

Uber, Lyft, or other smartphone-app ride service

49

4,022

1.2%

MUNI Metro

53

4,098

1.2%

Other motorcycle (not my household's)

54

8

0.0%

Express bus or Transbay bus

55

418

0.1%

Peer-to-peer car rental (e.g., Turo)

59

75

0.0%

Other hired car service (e.g., black car, limo)

60

127

0.0%

Rapid transit bus (BRT)

61

423

0.1%

Employer-provided shuttle/bus

62

780

0.2%

Medical transportation service

63

115

0.0%

Local (private) bus (e.g., RapidShuttle, SuperShuttle)

67

202

0.1%

Cable car or streetcar

68

186

0.1%

Bike-share - standard bicycle

69

261

0.1%

Bike-share - electric bicycle

70

350

0.1%

Moped-share (e.g., Scoot)

73

12

0.0%

Segway

74

16

0.0%

Other

75

63

0.0%

Carpool match (e.g., Waze Carpool)

76

59

0.0%

Personal scooter or moped (not shared)

77

952

0.3%

Public ferry or water taxi

78

296

0.1%

Other boat (e.g., kayak)

80

73

0.0%

Electric bicycle (my household's)

82

2,107

0.6%

Scooter-share (e.g., Bird, Lime)

83

148

0.0%

Missing Response

995

24,620

Total valid

348,891

100.0%

Total missing

24,620

Total

373,511

Row

mode_2

Trip mode 2

Label

Value

Counts

Percentages

Walk (or jog/wheelchair)

1

10,571

46.1%

Standard bicycle (my household's)

2

638

2.8%

Borrowed bicycle (e.g., a friend's)

3

3

0.0%

Other rented bicycle

4

13

0.1%

Other

5

345

1.5%

Household vehicle 1

6

2,040

8.9%

Household vehicle 2

7

819

3.6%

Household vehicle 3

8

30

0.1%

Household vehicle 4

9

27

0.1%

Household vehicle 5

10

7

0.0%

Household vehicle 6

11

4

0.0%

Other vehicle in household

16

49

0.2%

Rental car

17

34

0.1%

Carshare service (e.g., Zipcar)

18

14

0.1%

Vanpool

21

6

0.0%

Other vehicle (not my household's)

22

103

0.4%

Local (public) bus

23

634

2.8%

School bus

24

14

0.1%

Intercity bus (e.g., Greyhound, Megabus)

25

8

0.0%

Other private shuttle/bus (e.g., a hotel's, an airport's)

26

40

0.2%

Paratransit/Dial-A-Ride

27

23

0.1%

Other bus

28

161

0.7%

BART

30

2,595

11.3%

Airplane/helicopter

31

31

0.1%

Car from work

33

63

0.3%

Friend/relative/colleague's car

34

578

2.5%

Regular taxi (e.g., Yellow Cab)

36

30

0.1%

University/college shuttle/bus

38

133

0.6%

Intercity/Commuter rail (e.g., Altamount ACE, Amtrak, Caltrain)

41

300

1.3%

Other rail

42

376

1.6%

Skateboard or rollerblade

43

10

0.0%

ATV

45

3

0.0%

Other motorcycle in household

47

19

0.1%

Uber, Lyft, or other smartphone-app ride service

49

259

1.1%

MUNI Metro

53

1,760

7.7%

Other motorcycle (not my household's)

54

8

0.0%

Express bus or Transbay bus

55

249

1.1%

Peer-to-peer car rental (e.g., Turo)

59

2

0.0%

Other hired car service (e.g., black car, limo)

60

12

0.1%

Rapid transit bus (BRT)

61

136

0.6%

Employer-provided shuttle/bus

62

360

1.6%

Medical transportation service

63

9

0.0%

Local (private) bus (e.g., RapidShuttle, SuperShuttle)

67

29

0.1%

Cable car or streetcar

68

34

0.1%

Bike-share - standard bicycle

69

60

0.3%

Bike-share - electric bicycle

70

56

0.2%

Moped-share (e.g., Scoot)

73

5

0.0%

Segway

74

2

0.0%

Other

75

22

0.1%

Carpool match (e.g., Waze Carpool)

76

6

0.0%

Personal scooter or moped (not shared)

77

96

0.4%

Public ferry or water taxi

78

66

0.3%

Other boat (e.g., kayak)

80

4

0.0%

Electric bicycle (my household's)

82

28

0.1%

Scooter-share (e.g., Bird, Lime)

83

9

0.0%

Missing Response

995

350,578

Total valid

22,933

100.0%

Total missing

350,578

Total

373,511

Row

mode_3

Trip mode 3

Label

Value

Counts

Percentages

Walk (or jog/wheelchair)

1

2,880

60.7%

Standard bicycle (my household's)

2

25

0.5%

Borrowed bicycle (e.g., a friend's)

3

3

0.1%

Other

5

57

1.2%

Household vehicle 1

6

396

8.4%

Household vehicle 2

7

93

2.0%

Household vehicle 3

8

7

0.1%

Household vehicle 4

9

13

0.3%

Other vehicle in household

16

9

0.2%

Rental car

17

13

0.3%

Carshare service (e.g., Zipcar)

18

6

0.1%

Vanpool

21

3

0.1%

Other vehicle (not my household's)

22

32

0.7%

Local (public) bus

23

59

1.2%

Intercity bus (e.g., Greyhound, Megabus)

25

6

0.1%

Paratransit/Dial-A-Ride

27

2

0.0%

Other bus

28

29

0.6%

BART

30

224

4.7%

Airplane/helicopter

31

29

0.6%

Car from work

33

8

0.2%

Friend/relative/colleague's car

34

218

4.6%

University/college shuttle/bus

38

55

1.2%

Intercity/Commuter rail (e.g., Altamount ACE, Amtrak, Caltrain)

41

8

0.2%

Other rail

42

61

1.3%

Skateboard or rollerblade

43

3

0.1%

Other motorcycle in household

47

7

0.1%

Uber, Lyft, or other smartphone-app ride service

49

55

1.2%

MUNI Metro

53

207

4.4%

Express bus or Transbay bus

55

35

0.7%

Peer-to-peer car rental (e.g., Turo)

59

3

0.1%

Other hired car service (e.g., black car, limo)

60

3

0.1%

Rapid transit bus (BRT)

61

11

0.2%

Employer-provided shuttle/bus

62

84

1.8%

Medical transportation service

63

1

0.0%

Cable car or streetcar

68

16

0.3%

Bike-share - standard bicycle

69

4

0.1%

Bike-share - electric bicycle

70

25

0.5%

Carpool match (e.g., Waze Carpool)

76

4

0.1%

Personal scooter or moped (not shared)

77

1

0.0%

Public ferry or water taxi

78

38

0.8%

Scooter-share (e.g., Bird, Lime)

83

8

0.2%

Missing Response

995

368,770

Total valid

4,741

100.0%

Total missing

368,770

Total

373,511

Row

mode_4

Trip mode 4

Label

Value

Counts

Percentages

Walk (or jog/wheelchair)

1

403

60.2%

Standard bicycle (my household's)

2

2

0.3%

Household vehicle 1

6

12

1.8%

Household vehicle 2

7

5

0.7%

Other vehicle (not my household's)

22

2

0.3%

Local (public) bus

23

9

1.3%

Other bus

28

8

1.2%

BART

30

9

1.3%

Airplane/helicopter

31

8

1.2%

Friend/relative/colleague's car

34

56

8.4%

University/college shuttle/bus

38

11

1.6%

Intercity/Commuter rail (e.g., Altamount ACE, Amtrak, Caltrain)

41

1

0.1%

Other rail

42

15

2.2%

Uber, Lyft, or other smartphone-app ride service

49

3

0.4%

MUNI Metro

53

45

6.7%

Express bus or Transbay bus

55

5

0.7%

Peer-to-peer car rental (e.g., Turo)

59

3

0.4%

Other hired car service (e.g., black car, limo)

60

1

0.1%

Rapid transit bus (BRT)

61

3

0.4%

Employer-provided shuttle/bus

62

12

1.8%

Medical transportation service

63

15

2.2%

Cable car or streetcar

68

16

2.4%

Bike-share - standard bicycle

69

12

1.8%

Bike-share - electric bicycle

70

7

1.0%

Electric bicycle (my household's)

82

6

0.9%

Missing Response

995

372,842

Total valid

669

100.0%

Total missing

372,842

Total

373,511

Row

transit_type

Payment method for transit
If not a proxy survey and trip mode is bus (except school bus or private bus) or rail

Label

Value

Counts

Percentages

Free (no cost at all)

1

5,305

11.0%

Pass loaded on a Clipper Card

2

21,610

44.7%

Cash, credit card, or ticket(s)

3

3,826

7.9%

Don't know

4

221

0.5%

Used a transfer from a previous transit trip

6

92

0.2%

Clipper Cash

7

17,340

35.8%

Missing Response

995

325,117

Total valid

48,394

100.0%

Total missing

325,117

Total

373,511

Row

transit_access

Mode used to access transit stop
If trip mode is bus or rail

Label

Value

Counts

Percentages

Walked (or jogged/wheelchair)

1

36,314

74.2%

Bicycle

2

1,586

3.2%

Transferred from another bus

3

4,760

9.7%

Micromobility (e.g., scooter, moped, skateboard)

4

352

0.7%

Transferred from other transit (e.g., rail, air)

5

2,675

5.5%

Uber/Lyft, taxi, or car service

6

220

0.4%

Drove and parked my own household's vehicle (or motorcycle)

7

1,422

2.9%

Drove and parked another vehicle (or motorcycle)

8

99

0.2%

Got dropped off in my own household's vehicle (or motorcycle)

9

547

1.1%

Got dropped off in another vehicle (or motorcycle)

10

387

0.8%

Other

997

582

1.2%

Missing Response

995

324,567

Total valid

48,944

100.0%

Total missing

324,567

Total

373,511

Row

transit_egress

Mode used to leave transit stop
If trip mode is bus or rail

Label

Value

Counts

Percentages

Walked (or jogged/wheelchair)

1

36,803

75.2%

Bicycle

2

1,497

3.1%

Transferred to another bus

3

4,960

10.1%

Micromobility (e.g., scooter, moped, skateboard)

4

396

0.8%

Transferred to other transit (e.g., rail, air)

5

2,846

5.8%

Uber/Lyft, taxi, or car service

6

209

0.4%

Drove my own household's vehicle (or motorcycle)

7

979

2.0%

Drove another vehicle (or motorcycle)

8

70

0.1%

Got picked up in my own household's vehicle (or motorcycle)

9

351

0.7%

Got picked up in another vehicle (or motorcycle)

10

277

0.6%

Other

997

555

1.1%

Missing Response

995

324,568

Total valid

48,943

100.0%

Total missing

324,568

Total

373,511

Row

taxi_type

Type of taxi used on trip
If trip mode, transit access, or transit egress mode is Uber/Lyft, taxi, or car service

Label

Value

Counts

Percentages

I paid the fare myself (no reimbursement)

1

2,811

59.7%

Employer paid (I am reimbursed)

2

644

13.7%

Split/shared fare with other(s)

3

339

7.2%

Someone else paid 100% (all of fare)

4

774

16.4%

Other

5

142

3.0%

Missing Response

995

368,801

Total valid

4,710

100.0%

Total missing

368,801

Total

373,511

Row

taxi_pay

Knows amount paid for taxi
If person paid, their employer paid, or they split/shared the fare

Label

Value

Counts

Percentages

Knows amount paid

1

3,193

84.2%

Don't know

2

601

15.8%

Missing Response

995

369,717

Total valid

3,794

100.0%

Total missing

369,717

Total

373,511

Row

tnc_wait

Knows time spent between ordering trip and vehicle arriving
If trip mode is Uber, Lyft, or other smartphone-app ride service

Label

Value

Counts

Percentages

Minutes:

1

3,350

76.8%

Don't know

998

1,012

23.2%

Missing Response

995

369,149

Total valid

4,362

100.0%

Total missing

369,149

Total

373,511

Row

tnc_type

Shared smartphone-app ride service
If trip mode is Uber, Lyft, or other smartphone-app ride service

Label

Value

Counts

Percentages

Pooled (e.g., UberPool, Lyft Shared)

1

264

6.0%

Regular (e.g., UberX, UberXL, Lyft, LyftXL)

2

3,860

88.5%

Premium (e.g., UberBlack, Lyft Lux)

3

109

2.5%

Don't know

998

131

3.0%

Missing Response

995

369,147

Total valid

4,364

100.0%

Total missing

369,147

Total

373,511

Row

tnc_replace

Tnc replace
If trip mode is Uber, Lyft, or other smartphone-app ride service

Label

Variable Name

Counts

Percentages

Missing Counts

Would make same trip by using a taxi

tnc_replace_1

1,848

42.4%

369,150

Would make same trip by driving my own car

tnc_replace_2

734

16.8%

369,150

Would make same trip by riding with family/friend/coworker

tnc_replace_3

709

16.3%

369,150

Would make same trip by using BART

tnc_replace_4

569

13.0%

369,150

Would make same trip by using other transit (not BART)

tnc_replace_5

1,346

30.9%

369,150

Would make same trip by walking/biking

tnc_replace_6

543

12.5%

369,150

Would travel to a different place instead

tnc_replace_7

144

3.3%

369,150

Would NOT make the trip at all

tnc_replace_8

308

7.1%

369,150

Other

tnc_replace_9

130

3.0%

369,150

Row

park_location

Vehicle parking location
If trip mode, transit access mode, or transit egress mode is a household vehicle or other vehicle

Label

Value

Counts

Percentages

Home driveway/garage (yours or someone else's)

1

65,929

29.5%

Parking lot/garage

3

93,816

41.9%

On-street parking

4

43,891

19.6%

Park & Ride lot

5

1,056

0.5%

Didn't park (waited, drop-off, drive-thru, gas)

6

17,948

8.0%

Other

7

1,145

0.5%

Missing Response

995

149,726

Total valid

223,785

100.0%

Total missing

149,726

Total

373,511

Row

park_type

How paid to park at this location
If vehicle was parked in a lot/garage, on-street, or in a Park & Ride lot

Label

Value

Counts

Percentages

Free parking (no cost at all)

1

127,990

92.2%

Used a parking pass (any type)

2

4,148

3.0%

Paid via cash, credit card, or ticket(s)

3

5,399

3.9%

Parking reservation service (e.g., SpotHero, ParkMobile)

4

508

0.4%

Other

6

722

0.5%

Missing Response

995

234,744

Total valid

138,767

100.0%

Total missing

234,744

Total

373,511

Row

managed_lane_use

Managed lane use
If trip mode is a household vehicle, this person is not the passenger, and the vehicle has a toll transponder

Label

Value

Counts

Percentages

Yes

1

2,292

1.6%

No

2

137,371

98.4%

Missing Response

995

233,848

Total valid

139,663

100.0%

Total missing

233,848

Total

373,511

Row

num_travelers

Number of people in travel party

Label

Value

Counts

Percentages

1 traveler

1

205,694

56.6%

2 travelers

2

100,393

27.6%

3 travelers

3

32,370

8.9%

4 travelers

4

15,686

4.3%

5+ travelers

5

9,143

2.5%

Missing Response

995

10,225

Total valid

363,286

100.0%

Total missing

10,225

Total

373,511

Row

num_hh_travelers

Number of household members on trip

Label

Value

Counts

Percentages

1 traveler

1

243,946

67.1%

2 travelers

2

84,925

23.4%

3 travelers

3

22,213

6.1%

4 travelers

4

10,026

2.8%

5 travelers

5

1,733

0.5%

6 travelers

6

269

0.1%

7 travelers

7

91

0.0%

8 travelers

8

39

0.0%

9 travelers

9

43

0.0%

10 travelers

10

1

0.0%

Missing Response

995

10,225

Total valid

363,286

100.0%

Total missing

10,225

Total

373,511

Row

num_non_hh_travelers

Number of non-household member travelers

Label

Value

Counts

Percentages

0 travelers

0

309,103

85.1%

1 traveler

1

36,366

10.0%

2 travelers

2

10,044

2.8%

3 travelers

3

3,400

0.9%

4 travelers

4

1,415

0.4%

5+ travelers

5

2,958

0.8%

Missing Response

995

10,225

Total valid

363,286

100.0%

Total missing

10,225

Total

373,511

Row

o_purpose_category

Origin purpose category

Label

Value

Counts

Percentages

Not imputable

-1

4,667

1.2%

Home

1

99,183

26.6%

Work

2

16,381

4.4%

Work related

3

18,896

5.1%

School

4

3,359

0.9%

School related

5

2,204

0.6%

Escort

6

25,995

7.0%

Shop

7

40,063

10.7%

Meal

8

32,131

8.6%

Social or recreational

9

51,474

13.8%

Errand

10

17,645

4.7%

Change mode

11

42,997

11.5%

Overnight

12

13,932

3.7%

Other

13

4,584

1.2%

Total valid

373,511

100.0%

Total

373,511

Row

o_purpose

Origin purpose

Label

Value

Counts

Percentages

Not imputable

-1

4,667

1.2%

Went home

1

99,139

26.5%

Went to primary workplace

10

16,381

4.4%

Went to work-related activity (e.g., meeting, delivery, worksite)

11

16,225

4.3%

Volunteering

13

1,216

0.3%

Other work-related

14

1,455

0.4%

Attend K-12 school

21

574

0.2%

Attend college/university

22

1,029

0.3%

Attend other type of class (e.g., cooking class)

23

132

0.0%

Attend other education-related activity (e.g., field trip)

24

2,204

0.6%

Attend vocational education class

25

32

0.0%

Attend daycare or preschool

26

1,592

0.4%

Grocery shopping

30

21,883

5.9%

Got gas

31

3,949

1.1%

Other routine shopping (e.g., pharmacy)

32

13,026

3.5%

Errand without appointment (e.g., post office)

33

9,648

2.6%

Medical visit (e.g., doctor, dentist)

34

5,143

1.4%

Shopping for major item (e.g., furniture, car)

36

1,205

0.3%

Errand with appointment (e.g., haircut)

37

2,854

0.8%

Other activity only (e.g., attend meeting, pick-up or drop-off item)

44

1,738

0.5%

Pick someone up

45

9,896

2.6%

Drop someone off

46

12,493

3.3%

Accompany someone only (e.g., go along for the ride)

47

926

0.2%

BOTH pick up AND drop off

48

942

0.3%

Dined out, got coffee, or take-out

50

32,131

8.6%

Exercise or recreation (e.g., gym, jog, bike, walk dog)

51

27,836

7.5%

Social activity (e.g., visit friends/relatives)

52

9,481

2.5%

Leisure/entertainment/cultural (e.g., cinema, museum, park)

53

9,851

2.6%

Religious/civic/volunteer activity

54

2,622

0.7%

Family activity (e.g., watch child's game)

56

1,684

0.5%

Changed or transferred mode (e.g., waited for bus or exited bus)

60

42,997

11.5%

Other errand

61

125

0.0%

Other social

62

49

0.0%

Other reason

99

4,410

1.2%

Went to another residence (e.g., someone else's home, second home)

150

11,823

3.2%

Went to temporary lodging (e.g., hotel, vacation rental)

152

2,153

0.6%

Total valid

373,511

100.0%

Total

373,511

Row

d_purpose_category

Destination purpose category

Label

Value

Counts

Percentages

Not imputable

-1

4,642

1.2%

Home

1

100,512

26.9%

Work

2

16,107

4.3%

Work related

3

19,012

5.1%

School

4

3,222

0.9%

School related

5

2,220

0.6%

Escort

6

26,168

7.0%

Shop

7

40,196

10.8%

Meal

8

32,273

8.6%

Social or recreational

9

51,828

13.9%

Errand

10

17,695

4.7%

Change mode

11

43,049

11.5%

Overnight

12

14,672

3.9%

Other

13

1,915

0.5%

Total valid

373,511

100.0%

Total

373,511

Row

d_purpose

Destination purpose

Label

Value

Counts

Percentages

Not imputable

-1

4,642

1.2%

Went home

1

100,512

26.9%

Went to primary workplace

10

16,107

4.3%

Went to work-related activity (e.g., meeting, delivery, worksite)

11

16,319

4.4%

Volunteering

13

1,230

0.3%

Other work-related

14

1,463

0.4%

Attend K-12 school

21

603

0.2%

Attend college/university

22

791

0.2%

Attend other type of class (e.g., cooking class)

23

137

0.0%

Attend other education-related activity (e.g., field trip)

24

2,220

0.6%

Attend vocational education class

25

32

0.0%

Attend daycare or preschool

26

1,659

0.4%

Grocery shopping

30

21,974

5.9%

Got gas

31

3,960

1.1%

Other routine shopping (e.g., pharmacy)

32

13,055

3.5%

Errand without appointment (e.g., post office)

33

9,668

2.6%

Medical visit (e.g., doctor, dentist)

34

5,161

1.4%

Shopping for major item (e.g., furniture, car)

36

1,207

0.3%

Errand with appointment (e.g., haircut)

37

2,866

0.8%

Other activity only (e.g., attend meeting, pick-up or drop-off item)

44

1,741

0.5%

Pick someone up

45

9,930

2.7%

Drop someone off

46

12,594

3.4%

Accompany someone only (e.g., go along for the ride)

47

944

0.3%

BOTH pick up AND drop off

48

959

0.3%

Dined out, got coffee, or take-out

50

32,273

8.6%

Exercise or recreation (e.g., gym, jog, bike, walk dog)

51

27,962

7.5%

Social activity (e.g., visit friends/relatives)

52

9,599

2.6%

Leisure/entertainment/cultural (e.g., cinema, museum, park)

53

9,920

2.7%

Religious/civic/volunteer activity

54

2,642

0.7%

Family activity (e.g., watch child's game)

56

1,705

0.5%

Changed or transferred mode (e.g., waited for bus or exited bus)

60

43,049

11.5%

Other errand

61

126

0.0%

Other social

62

53

0.0%

Other reason

99

1,736

0.5%

Went to another residence (e.g., someone else's home, second home)

150

12,294

3.3%

Went to temporary lodging (e.g., hotel, vacation rental)

152

2,378

0.6%

Total valid

373,511

100.0%

Total

373,511

Using The Data

Column

Data Preparation

Data Preparation

This section summarizes the methods used to prepare the data. Given that all data were collected in a “controlled” environment (e.g., survey answers are validated in real-time), data preparation was primarily focused on coding variables and deriving new fields to facilitate analysis.


Joining Tables

Joining Tables

Survey data tables can be joined to one another as follows:

Table name Variable(s) to join to other survey data tables
Household hh_id
Person hh_id, person_id
Vehicle hh_id
Day hh_id, person_id, day_num
Trip hh_id, person_id, day_num, trip_id
Location trip_id

Time and Location Standards

Time and Location Standards

All timestamps are set to Coordinated Universal Time (UTC) time, regardless of where trips occurred. All location latitude and longitude information are presented in WGS84 format.

Missing Values

Missing Values

A survey data table cell may be missing data for one of four reasons:

1. Value or response is missing due to survey logic, participant non-response, or error.

Example: Participants who traveled by bus were not asked if they were the driver or passenger on the trip.

Coded as: 995 for categorical variables, blank/NA for continuous variables

2. A respondent indicated that the question was not applicable and skipped that question.

Example: Some participants did not share how they pay to park at work because they do not park at work (e.g., carpool).

Coded as: 996 (often labeled as “Not applicable”)

3. A respondent indicated that they didn’t know the answer and skipped that question.

Example: Some participants who made a vehicle trip and paid to park the vehicle may not remember the amount they paid.

Coded as: 998 (Don’t know)

4. A respondent indicated that they preferred not to answer a question and skipped that question.

Example: Some participants chose not to provide their household income.

Coded as: 999 (Prefer not to answer)

Other notes about missing survey data:

  • For a survey to be complete, all survey questions asked of the participant must have been answered in the app or online instrument.
  • Continuous variables (e.g., trip distance, trip duration) are not coded with missing value codes and are instead left empty when missing to avoid interfering with statistical calculations.
  • Due to the large size of the location table, missing values were left exactly as they were collected. Speed, heading, and accuracy can all potentially contain missing values that are either stored as “-1”, NA, or 0. Analysis on those fields should filter to where the values are greater than zero.

Outliers

Outliers

Continuous variables (e.g., trip distance, trip duration) in the dataset may contain outliers. Data users should be aware of these outliers when calculating summary statistics (e.g., mean) for these variables.

Derived and Recoded Variables

Derived and Recoded Variables

This dataset includes a combination of variables that were actively collected via survey questions, passively collected via rMove or other metadata, implicitly assigned (e.g., administrative variables such as ID numbers), and derived or recoded (calculated from some combination of other variables). Key derived or recoded variables in this dataset are summarized below.

Day-level Variables

  • Number of trips per day

Trip-level Variables

  • Trip path distance (based on the GPS location data)
  • Trip purpose (imputed in some cases)
  • Mode type and purpose categories
  • Access and egress flags

Imputation

Imputation

Departure Time

In some cases, the rMove app may have detected the start of a trip after its true start time, which can yield invalid or extreme values for trip duration and speed. In these cases, the fields depart_date, depart_hour, and depart_minute were adjusted for “late pickup” conditions using the following approach:

  • Departure time was imputed using the median speed between all locations along the trip, excluding the origin point, and the distance between the origin and the next point on the trip. For trips with fewer than three recorded locations, imputed departure time is set three minutes earlier than the original departure time to compensate for rMove’s 3-5-minute ping interval. Note that some trips that are the result of split loop trips may only have three or fewer points but will use the imputed depart time from before the loop trip was split and thus may not be included in this rule.
  • If the imputed departure time overlaps with the previous trip’s arrival time, the previous trip’s arrival time was instead used as the departure time. Regardless of the number of locations along a trip, if the imputed departure time was later than the initially reported departure time, the imputed departure time is set to the original departure time. User-added trips as well as long distance passenger mode trips are also set to the original departure time, as user-added trips are not subject to “late pickup” conditions, and long-distance passenger modes are often plane trips where all collected traces contain speed information from other modes and thus are less reliable (as rMove cannot collect locations when a phone is in “airplane mode”).

Duration and speed are calculated based on the imputed departure time.

Purpose

Respondents report the purpose of the trip destination in each trip survey. The origin purpose is derived from the destination purpose of the previous trip, except for the first trip in the travel period or where an rMove trip occurs after a trip survey whose survey is incomplete due to non-response. For the first trip in the travel period, the origin purpose can be inferred from “begin_day” in the day table.

When purpose was not asked because an analyst split a user-reported trip during data cleaning (creating a new destination along a trip), purpose values are derived where possible based on proximity (within 150 meters) to estimated home, work, or school locations. If the location is not proximate to home, work, or school locations, the purpose is set to “other.”

The purpose category variables (o_purpose_category, d_purpose_category) contain aggregated purpose values based on the type of purpose at the origin/destination of each trip. Dataset users are welcome to perform their own recoding of the purpose categories as well.

Trip purposes have been imputed in cases where a purpose reported by the user is assumed to be inaccurate based on information about that person’s reported habitual locations and other trips (primarily to home, work, and school locations). The trip purpose imputation approach was applied to all rMove trips in person-days with at least 1 complete trip and no more than 10 incomplete trips. (“Incomplete” trips are trips for which the respondent did not answer the trip-specific survey questions about purpose, mode, etc. for the given trip.)

The approach was to apply various “tests” in logical sequence to trips for which the stated purpose is not consistent with the location type based on the reported habitual locations. In general terms, the tests were designed to:

  • Check the respondent’s reported destination purpose when it conflicts with the destination location type. (The details of the tests depend on the trip purpose, with different criteria used for change-mode trips, escort trips, linked transit trips, trips with home destinations but other reported purposes, etc.)
  • Identify cases where respondents swapped the order of two or more trips when reporting their details.
  • Identify cases where respondents may have omitted a trip and shifted remaining reported trip details by one trip when reporting the rest of their trips.
  • Fill in missing data by sampling destination purposes from other trips made to the same locations, either by the same respondent or by other respondents.

Mode type

Mode type (mode_type)

Mode_type synthesizes mode_1 to mode_3 down to a single, easier-to-use variable for analytical purposes (so that data users can avoid always referencing all modes on multimodal trips). The table below shows the full crosswalk of which detailed modes correspond to which mode_types. Higher values of mode_type are prioritized over lower mode_type values in the derivation. For example, transit trips, with mode_type 13, are prioritized over walk trips, with mode_type 1. When transit trips were unlinked using the Google API during cleaning (and thus did not have a reported mode_1, mode_2, or mode_3), the non-transit legs of the trip were recoded using Google’s suggested mode (most frequently “walk” or “bike”) and do not have a reported mode_1, mode_2, or mode_3.